Last update:
Mon Oct 14 09:12:12 MDT 2024
D. R. Cox Applied statistics: a review . . . . . . 1--16
David M. Blei and
John D. Lafferty A correlated topic model of
\booktitleScience . . . . . . . . . . . 17--35
Qing Zhou and
Wing Hung Wong Coupling hidden Markov models for the
discovery of Cis-regulatory modules in
multiple species . . . . . . . . . . . . 36--65
Anita Araneda and
Stephen E. Fienberg and
Alvaro Soto A statistical approach to simultaneous
mapping and localization for mobile
robots . . . . . . . . . . . . . . . . . 66--84
Michael A. Newton and
Fernando A. Quintana and
Johan A. den Boon and
Srikumar Sengupta and
Paul Ahlquist Random-set methods identify distinct
aspects of the enrichment signal in
gene-set analysis . . . . . . . . . . . 85--106
Bradley Efron and
Robert Tibshirani On testing the significance of sets of
genes . . . . . . . . . . . . . . . . . 107--129
R. Dennis Cook and
Liqiang Ni Elevated soil lead: Statistical modeling
and apportionment of contributions from
lead-based paint and leaded gasoline . . 130--151
David M. Seo and
Pascal J. Goldschmidt-Clermont and
Mike West Of mice and men: Sparse statistical
modeling in cardiovascular genomics . . 152--178
Alexander Gordon and
Galina Glazko and
Xing Qiu and
Andrei Yakovlev Control of the mean number of false
discoveries, Bonferroni and stability of
multiple testing . . . . . . . . . . . . 179--190
Michael L. Stein Spatial variation of total column ozone
on a global scale . . . . . . . . . . . 191--210
Yang Yang and
Ira M. Longini and
M. Elizabeth Halloran A resampling-based test to detect
person-to-person transmission of
infectious disease . . . . . . . . . . . 211--228
Leontine Alkema and
Adrian E. Raftery and
Samuel J. Clark Probabilistic projections of HIV
prevalence using Bayesian melding . . . 229--248
Brian J. Reich and
Montserrat Fuentes A multivariate semiparametric Bayesian
spatial modeling framework for hurricane
surface wind fields . . . . . . . . . . 249--264
Peter D. Hoff Extending the rank likelihood for
semiparametric copula estimation . . . . 265--283
Stephen E. Fienberg Editorial: Statistics and forensic
science . . . . . . . . . . . . . . . . 285--286
Cliff Spiegelman and
William A. Tobin and
William D. James and
Simon J. Sheather and
Stuart Wexler and
D. Max Roundhill Chemical and forensic analysis of JFK
assassination bullet lots: Is a second
shooter possible? . . . . . . . . . . . 287--301
Jerome Friedman and
Trevor Hastie and
Holger Höfling and
Robert Tibshirani Pathwise coordinate optimization . . . . 302--332
Zhijin Wu and
Rafael A. Irizarry A statistical framework for the analysis
of microarray probe-level data . . . . . 333--357
Bruce S. Weir The rarity of DNA profiles . . . . . . . 358--370
Amy Berrington de González and
D. R. Cox Interpretation of interaction: a review 371--385
Art B. Owen The pigeonhole bootstrap . . . . . . . . 386--411
Galit Shmueli and
Ralph P. Russo and
Wolfgang Jank The BARISTA: a model for bid arrivals in
online auctions . . . . . . . . . . . . 412--441
Haiyan Wu and
Ming Yuan and
Susan M. Kaech and
M. Elizabeth Halloran A statistical analysis of memory CD8 T
cell differentiation: an application of
a hierarchical state space model to a
short time course microarray experiment 442--458
Marc Coram and
Hua Tang Improving population-specific allele
frequency estimates by adapting
supplemental data: an empirical Bayes
approach . . . . . . . . . . . . . . . . 459--479
Gareth M. James Curve alignment by moments . . . . . . . 480--501
Elena A. Erosheva and
Stephen E. Fienberg and
Cyrille Joutard Describing disability through
individual-level mixture models for
multivariate binary data . . . . . . . . 502--537
Lev Klebanov and
Andrei Yakovlev Diverse correlation structures in gene
expression data and their utility in
improving statistical inference . . . . 538--559
Ji Meng Loh and
Zhengyuan Zhu Accounting for spatial correlation in
the scan statistic . . . . . . . . . . . 560--584
John A. D. Aston and
Donald E. K. Martin Distributions associated with general
runs and patterns in hidden Markov
models . . . . . . . . . . . . . . . . . 585--611
Shane T. Jensen and
Guang Chen and
Christian J. Stoeckert, Jr. Bayesian variable selection and data
integration for biological regulatory
networks . . . . . . . . . . . . . . . . 612--633
David M. Blei and
John D. Lafferty A correlated topic model of
\booktitleScience . . . . . . . . . . . 634
Stephen E. Fienberg Editorial: Statistics and ``The lost
tomb of Jesus'' . . . . . . . . . . . . 1--2
Andrey Feuerverger Statistical analysis of an archeological
find . . . . . . . . . . . . . . . . . . 3--54
Stephen M. Stigler Discussion of: ``Statistical analysis of
an archeological find'' . . . . . . . . 55--56
Camil Fuchs Discussion of: ``Statistical analysis of
an archeological find'' . . . . . . . . 57--65
Donald L. Bentley Discussion of: Statistical analysis of
an archaeological find . . . . . . . . . 66--73
Sheila M. Bird Discussion of: ``Statistical analysis of
an archeological find'' --- skeptical
counting challenges to an archaeological
find . . . . . . . . . . . . . . . . . . 74--76
Holger Höfling and
Larry Wasserman Discussion of: ``Statistical analysis of
an archeological find'' . . . . . . . . 77--83
Randall Ingermanson Discussion of: ``Statistical analysis of
an archaeological find'' . . . . . . . . 84--90
J. Mortera and
P. Vicard Discussion of: ``Statistical analysis of
an archeological find'' . . . . . . . . 91--96
Joseph B. Kadane Discussion of: Bayesian views of an
archaeological find . . . . . . . . . . 97--98
Andrey Feuerverger Rejoinder of: ``Statistical analysis of
an archeological find'' . . . . . . . . 99--112
Lawrence D. Brown In-season prediction of batting
averages: a field test of empirical
Bayes and Bayes methodologies . . . . . 113--152
Armin Schwartzman and
Robert F. Dougherty and
Jonathan E. Taylor False discovery rate analysis of brain
diffusion direction maps . . . . . . . . 153--175
David A. Freedman On regression adjustments in experiments
with several treatments . . . . . . . . 176--196
Bradley Efron Simultaneous inference: When should
hypothesis testing problems be combined? 197--223
Tong Tong Wu and
Kenneth Lange Coordinate descent algorithms for lasso
penalized regression . . . . . . . . . . 224--244
Elizaveta Levina and
Adam Rothman and
Ji Zhu Sparse estimation of large covariance
matrices via a nested Lasso penalty . . 245--263
Charles F. Manski and
Francesca Molinari Skip sequencing: a decision problem in
questionnaire design . . . . . . . . . . 264--285
William T. Barry and
Andrew B. Nobel and
Fred A. Wright A statistical framework for testing
functional categories in microarray data 286--315
Maarten J. L. F. Cruyff and
Ulf Böckenholt and
Ardo van den Hout and
Peter G. M. van der Heijden Accounting for self-protective responses
in randomized response data from a
social security survey using the
zero-inflated Poisson model . . . . . . 316--331
Nancy R. Zhang and
Mary C. Wildermuth and
Terence P. Speed Transcription factor binding site
prediction with multivariate gene
expression data . . . . . . . . . . . . 332--365
Tathagata Banerjee and
Rahul Mukerjee Optimal factorial designs for cDNA
microarray experiments . . . . . . . . . 366--385
Li Qin and
Peter B. Gilbert and
Dean Follmann and
Dongfeng Li Assessing surrogate endpoints in vaccine
trials with case-cohort sampling and the
Cox model . . . . . . . . . . . . . . . 386--407
Zhi Wei and
Hongzhe Li A hidden spatial-temporal Markov random
field model for network-based analysis
of time course gene expression data . . 408--429
John E. Fiorentino Letter to the Editor . . . . . . . . . . 430--431
Clifford Spiegelman and
S. J. Sheather and
W. A. Tobin and
W. D. James and
S. Wexler and
D. M. Roundhill Response to the Letter to the Editor . . 432--433
Ann B. Lee and
Boaz Nadler and
Larry Wasserman Treelets --- An adaptive multi-scale
basis for sparse unordered data . . . . 435--471
Fionn Murtagh Discussion of: ``Treelets --- An
adaptive multi-scale basis for sparse
unordered data'' . . . . . . . . . . . . 472--473
Peter J. Bickel and
Ya'acov Ritov Discussion of: ``Treelets --- An
adaptive multi-scale basis for sparse
unordered data'' . . . . . . . . . . . . 474--477
Nicolai Meinshausen and
Peter Bühlmann Discussion of: ``Treelets --- An
adaptive multi-scale basis for sparse
unordered data'' . . . . . . . . . . . . 478--481
Robert Tibshirani Discussion of: ``Treelets --- An
adaptive multi-scale basis for sparse
unordered data'' . . . . . . . . . . . . 482--483
Xing Qiu Discussion of: ``Treelets --- An
adaptive multi-scale basis for sparse
unordered data'' . . . . . . . . . . . . 484--488
Catherine Tuglus and
Mark J. van der Laan Discussion of: ``Treelets --- An
adaptive multi-scale basis for sparse
unordered data'' . . . . . . . . . . . . 489--493
Ann B. Lee and
Boaz Nadler and
Larry Wasserman Rejoinder of: ``Treelets --- An adaptive
multi-scale basis for spare unordered
data'' . . . . . . . . . . . . . . . . . 494--500
S. C. Kou Stochastic modeling in nanoscale
biophysics: Subdiffusion within proteins 501--535
Andrew Gelman and
Cexun Jeffrey Cai Should the Democrats move to the left on
economic policy? . . . . . . . . . . . . 536--549
Philip B. Stark Conservative statistical post-election
audits . . . . . . . . . . . . . . . . . 550--581
Lu Zheng and
Marvin Zelen Multi-center clinical trials:
Randomization and ancillary statistics 582--600
Haipeng Shen and
Jianhua Z. Huang Forecasting time series of inhomogeneous
Poisson processes with application to
call center workforce management . . . . 601--623
T. A. Buishand and
L. de Haan and
C. Zhou On spatial extremes: With application to
a rainfall problem . . . . . . . . . . . 624--642
Holger Höfling and
Robert Tibshirani A study of pre-validation . . . . . . . 643--664
Qingzhao Yu and
Elizabeth A. Stasny and
Bin Li Bayesian models to adjust for response
bias in survey data for estimating rape
and domestic violence rates from the
NCVS . . . . . . . . . . . . . . . . . . 665--686
Robert B. Scharpf and
Giovanni Parmigiani and
Jonathan Pevsner and
Ingo Ruczinski Hidden Markov models for the assessment
of chromosomal alterations using
high-throughput SNP arrays . . . . . . . 687--713
Egil Ferkingstad and
Arnoldo Frigessi and
Håvard Rue and
Gudmar Thorleifsson and
Augustine Kong Unsupervised empirical Bayesian multiple
testing with external covariates . . . . 714--735
Xiaoxi Zhang and
Timothy D. Johnson and
Roderick J. A. Little and
Yue Cao Quantitative magnetic resonance image
analysis via the EM algorithm with
stochastic variation . . . . . . . . . . 736--755
Sergio Venturini and
Francesca Dominici and
Giovanni Parmigiani Gamma shape mixtures for heavy-tailed
distributions . . . . . . . . . . . . . 756--776
Persi Diaconis and
Sharad Goel and
Susan Holmes Horseshoes in multidimensional scaling
and local kernel methods . . . . . . . . 777--807
Donald B. Rubin For objective causal inference, design
trumps analysis . . . . . . . . . . . . 808--840
Hemant Ishwaran and
Udaya B. Kogalur and
Eugene H. Blackstone and
Michael S. Lauer Random survival forests . . . . . . . . 841--860
P. L. Davies and
U. Gather and
M. Meise and
D. Mergel and
T. Mildenberger Residual-based localization and
quantification of peaks in X-ray
diffractograms . . . . . . . . . . . . . 861--886
Louis Lyons Open statistical issues in Particle
Physics . . . . . . . . . . . . . . . . 887--915
Jerome H. Friedman and
Bogdan E. Popescu Predictive learning via rule ensembles 916--954
L. Fraser Jackson and
Alistair G. Gray and
Stephen E. Fienberg Sequential category aggregation and
partitioning approaches for multi-way
contingency tables based on survey and
census data . . . . . . . . . . . . . . 955--981
Philip B. Stark A sharper discrepancy measure for
post-election audits . . . . . . . . . . 982--985
Daniela M. Witten and
Robert Tibshirani Testing significance of features by
lassoed principal components . . . . . . 986--1012
Mary C. Meyer Inference using shape-restricted
regression splines . . . . . . . . . . . 1013--1033
Beth Ann Griffin and
Daniel F. McCaffrey and
Andrew R. Morral An application of principal
stratification to control for
institutionalization at follow-up in
studies of substance abuse treatment
programs . . . . . . . . . . . . . . . . 1034--1055
Jie Peng and
Hans-Georg Müller Distance-based clustering of sparsely
observed stochastic processes, with
applications to online auctions . . . . 1056--1077
Cécile Ané Analysis of comparative data with
hierarchical autocorrelation . . . . . . 1078--1102
Steven D. Mark A general formulation for
standardization of rates as a method to
control confounding by measured and
unmeasured disease risk factors . . . . 1103--1122
D. Commenges and
A. Sayyareh and
L. Letenneur and
J. Guedj and
A. Bar-Hen Estimating a difference of
Kullback--Leibler risks using a
normalized difference of AIC . . . . . . 1123--1142
Montserrat Fuentes and
Peter Guttorp and
Michael L. Stein Special section on statistics in the
atmospheric sciences . . . . . . . . . . 1143--1147
Montserrat Fuentes and
Brian Reich and
Gyuwon Lee Spatial--temporal mesoscale modeling of
rainfall intensity using gage and radar
data . . . . . . . . . . . . . . . . . . 1148--1169
Veronica J. Berrocal and
Adrian E. Raftery and
Tilmann Gneiting Probabilistic quantitative precipitation
field forecasting using a two-stage
spatial model . . . . . . . . . . . . . 1170--1193
Huiyan Sang and
Alan E. Gelfand and
Chris Lennard and
Gabriele Hegerl and
Bruce Hewitson Interpreting self-organizing maps
through space--time data models . . . . 1194--1216
Dorin Drignei and
Chris E. Forest and
Doug Nychka Parameter estimation for computationally
intensive nonlinear regression with an
application to climate modeling . . . . 1217--1230
Anders Malmberg and
Avelino Arellano and
David P. Edwards and
Natasha Flyer and
Doug Nychka and
Christopher Wikle Interpolating fields of carbon monoxide
data using a hybrid statistical-physical
model . . . . . . . . . . . . . . . . . 1231--1248
Gavin Shaddick and
Duncan Lee and
James V. Zidek and
Ruth Salway Estimating exposure response functions
using ambient pollution concentrations 1249--1270
Mikyoung Jun and
Michael L. Stein Nonstationary covariance models for
global data . . . . . . . . . . . . . . 1271--1289
Hui Zou and
Ji Zhu and
Trevor Hastie New multicategory boosting algorithms
based on multicategory Fisher-consistent
losses . . . . . . . . . . . . . . . . . 1290--1306
Qing Zhou and
Wing Hung Wong Reconstructing the energy landscape of a
distribution from Monte Carlo samples 1307--1331
Armin Schwartzman Empirical null and false discovery rate
inference for exponential families . . . 1332--1359
Andrew Gelman and
Aleks Jakulin and
Maria Grazia Pittau and
Yu-Sung Su A weakly informative default prior
distribution for logistic and other
regression models . . . . . . . . . . . 1360--1383
Yangxin Huang and
Tao Lu Modeling long-term longitudinal HIV
dynamics with application to an AIDS
clinical study . . . . . . . . . . . . . 1384--1408
Yang Yang and
Peter Gilbert and
Ira M. Longini, Jr. and
M. Elizabeth Halloran A Bayesian framework for estimating
vaccine efficacy per infectious contact 1409--1431
Li Qin and
Yuedong Wang Nonparametric spectral analysis with
applications to seizure characterization
using EEG time series . . . . . . . . . 1432--1451
Isobel Claire Gormley and
Thomas Brendan Murphy A mixture of experts model for rank data
with applications in election studies 1452--1477
Paul Gustafson and
Genevi\`eve Lefebvre Bayesian multinomial regression with
class-specific predictor selection . . . 1478--1502
Hsieh Fushing and
Li Zhu and
David I. Shapiro-Ilan and
James F. Campbell and
Edwin E. Lewis State-space based mass event-history
model I: Many decision-making agents
with one target . . . . . . . . . . . . 1503--1522
Tommaso Proietti and
Alessandra Luati Real time estimation in local polynomial
regression, with application to
trend-cycle analysis . . . . . . . . . . 1523--1553
Claire Cannamela and
Josselin Garnier and
Bertrand Iooss Controlled stratification for quantile
estimation . . . . . . . . . . . . . . . 1554--1580
Thomas J. Loredo and
John Rice and
Michael L. Stein Introduction to papers on
astrostatistics . . . . . . . . . . . . 1--5
Sarah Bridle and
Mandeep Gill and
Alan Heavens and
Catherine Heymans and
F. William High and
Henk Hoekstra and
Mike Jarvis and
Donnacha Kirk and
Thomas Kitching and
Jean-Paul Kneib and
Konrad Kuijken and
John Shawe-Taylor and
David Lagatutta and
Rachel Mandelbaum and
Richard Massey and
Yannick Mellier and
Baback Moghaddam and
Yassir Moudden and
Reiko Nakajima and
Stephane Paulin-Henriksson and
Sandrine Pires and
Anais Rassat and
Adam Amara and
Alexandre Refregier and
Jason Rhodes and
Tim Schrabback and
Elisabetta Semboloni and
Marina Shmakova and
Ludovic van Waerbeke and
Dugan Witherick and
Lisa Voigt and
David Wittman and
Douglas Applegate and
Sreekumar T. Balan and
Joel Berge and
Gary Bernstein and
Hakon Dahle and
Thomas Erben Handbook for the GREAT08 Challenge: an
image analysis competition for
cosmological lensing . . . . . . . . . . 6--37
Nicolai Meinshausen and
Peter Bickel and
John Rice Efficient blind search: Optimal power of
detection under computational cost
constraints . . . . . . . . . . . . . . 38--60
Paolo Cabella and
Domenico Marinucci Statistical challenges in the analysis
of Cosmic Microwave Background radiation 61--95
Bodhisattva Sen and
Moulinath Banerjee and
Michael Woodroofe and
Mario Mateo and
Matthew Walker Streaming motion in Leo I . . . . . . . 96--116
David A. van Dyk and
Steven DeGennaro and
Nathan Stein and
William H. Jefferys and
Ted von Hippel Statistical analysis of stellar
evolution . . . . . . . . . . . . . . . 117--143
Christopher Genovese and
Peter Freeman and
Larry Wasserman and
Robert Nichol and
Christopher Miller Inference for the dark energy equation
of state using Type IA supernova data 144--178
Yoav Benjamini and
Yulia Gavrilov A simple forward selection procedure
based on false discovery rate control 179--198
Murray Aitkin and
Charles C. Liu and
Tom Chadwick Bayesian model comparison and model
averaging for small-area estimation . . 199--221
Ruiyan Luo and
Bret Larget Modeling substitution and indel
processes for AFLP marker evolution and
phylogenetic inference . . . . . . . . . 222--248
Philippe Huber and
Olivier Scaillet and
Maria-Pia Victoria-Feser Assessing multivariate predictors of
financial market movements: a latent
factor framework for ordinal data . . . 249--271
Michael L. Stein Spatial interpolation of high-frequency
monitoring data . . . . . . . . . . . . 272--291
Mark Culp and
George Michailidis and
Kjell Johnson On multi-view learning with additive
models . . . . . . . . . . . . . . . . . 292--318
Carles Bretó and
Daihai He and
Edward L. Ionides and
Aaron A. King Time series analysis via mechanistic
models . . . . . . . . . . . . . . . . . 319--348
Snigdhansu Chatterjee and
Peihua Qiu Distribution-free cumulative sum control
charts using bootstrap-based control
limits . . . . . . . . . . . . . . . . . 349--369
Christopher J. Paciorek and
Jeff D. Yanosky and
Robin C. Puett and
Francine Laden and
Helen H. Suh Practical large-scale spatio-temporal
modeling of particulate matter
concentrations . . . . . . . . . . . . . 370--397
Abhyuday Mandal and
Pritam Ranjan and
C. F. Jeff Wu $ \mathcal {G}$-SELC: Optimization by
sequential elimination of level
combinations using genetic algorithms
and Gaussian processes . . . . . . . . . 398--421
Yacine A\"\it-Sahalia and
Jialin Yu High frequency market microstructure
noise estimates and liquidity measures 422--457
Chong-Zhi Di and
Ciprian M. Crainiceanu and
Brian S. Caffo and
Naresh M. Punjabi Multilevel functional principal
component analysis . . . . . . . . . . . 458--488
Donald B. Macnaughton Letter to the Editor . . . . . . . . . . 489
Shane T. Jensen and
Kenneth E. Shirley and
Abraham J. Wyner Bayesball: a Bayesian hierarchical model
for evaluating fielding in major league
baseball . . . . . . . . . . . . . . . . 491--520
Jianqing Fan and
Yang Feng and
Yichao Wu Network exploration via the adaptive
LASSO and SCAD penalties . . . . . . . . 521--541
Jorge R. Busch and
Pablo A. Ferrari and
Ana Georgina Flesia and
Ricardo Fraiman and
Sebastian P. Grynberg and
Florencia Leonardi Testing statistical hypothesis on random
trees and applications to the protein
classification problem . . . . . . . . . 542--563
Art B. Owen and
Patrick O. Perry Bi-cross-validation of the SVD and the
nonnegative matrix factorization . . . . 564--594
Dankmar Böhning and
Peter G. M. van der Heijden A covariate adjustment for
zero-truncated approaches to estimating
the size of hidden and elusive
populations . . . . . . . . . . . . . . 595--610
Francesco Bartolucci and
Monia Lupparelli and
Giorgio E. Montanari Latent Markov model for longitudinal
binary data: An application to the
performance evaluation of nursing homes 611--636
Céline Lévy-Leduc and
François Roueff Detection and localization of
change-points in high-dimensional
network traffic data . . . . . . . . . . 637--662
D. Fouskakis and
I. Ntzoufras and
D. Draper Bayesian variable selection using
cost-adjusted BIC, with application to
cost-effective measurement of quality of
health care . . . . . . . . . . . . . . 663--690
Brenda Jenney and
Sharon Lohr Experimental designs for multiple-level
responses, with application to a
large-scale educational intervention . . 691--709
Xi Kathy Zhou and
Merlise A. Clyde and
James Garrett and
Viridiana Lourdes and
Michael O'Connell and
Giovanni Parmigiani and
David J. Turner and
Tim Wiles Statistical methods for automated drug
susceptibility testing: Bayesian minimum
inhibitory concentration prediction from
growth curves . . . . . . . . . . . . . 710--730
Peter J. Green and
Julia Mortera Sensitivity of inferences in forensic
genetics to assumptions about founding
genes . . . . . . . . . . . . . . . . . 731--763
Paul T. Edlefsen and
Chuanhai Liu and
Arthur P. Dempster Estimating limits from Poisson counting
data using Dempster--Shafer analysis . . 764--790
Kyung-Ah Sohn and
Eric P. Xing A hierarchical Dirichlet process mixture
model for haplotype reconstruction from
multi-population data . . . . . . . . . 791--821
Ryan J. Tibshirani and
Robert Tibshirani A bias correction for the minimum error
rate in cross-validation . . . . . . . . 822--829
Brisa N. Sánchez and
Esben Budtz-Jòrgensen and
Louise M. Ryan An estimating equations approach to
fitting latent exposure models with
longitudinal health outcomes . . . . . . 830--856
Yili Hong and
William Q. Meeker and
James D. McCalley Prediction of remaining life of power
transformers based on left truncated and
right censored lifetime data . . . . . . 857--879
Dylan S. Small and
Paul R. Rosenbaum Error-free milestones in error prone
measurements . . . . . . . . . . . . . . 881--901
E. Anderes and
B. Yu and
V. Jovanovic and
C. Moroney and
M. Garay and
A. Braverman and
E. Clothiaux Maximum likelihood estimation of cloud
height from multi-angle satellite
imagery . . . . . . . . . . . . . . . . 902--921
Bradley Efron Are a set of microarrays independent of
each other? . . . . . . . . . . . . . . 922--942
Shengde Liang and
Bradley P. Carlin and
Alan E. Gelfand Analysis of Minnesota colon and rectum
cancer point patterns with spatial and
nonspatial covariate information . . . . 943--962
Ming Yuan State price density estimation via
nonparametric mixtures . . . . . . . . . 963--984
Andrey A. Shabalin and
Victor J. Weigman and
Charles M. Perou and
Andrew B. Nobel Finding large average submatrices in
high dimensional data . . . . . . . . . 985--1012
Peihua Qiu and
Rong Yang and
Michael Potegal Statistical modeling of the time course
of tantrum anger . . . . . . . . . . . . 1013--1034
David Rossell GaGa: a parsimonious and flexible model
for differential expression analysis . . 1035--1051
Andrew O. Finley and
Sudipto Banerjee and
Ronald E. McRoberts Hierarchical spatial models for
predicting tree species assemblages
across large domains . . . . . . . . . . 1052--1079
Shane T. Jensen and
Ibrahim Erkan and
Erna S. Arnardottir and
Dylan S. Small Bayesian testing of many hypotheses $
\times $ many genes: a study of sleep
apnea . . . . . . . . . . . . . . . . . 1080--1101
Ian L. Dryden and
Alexey Koloydenko and
Diwei Zhou Non-Euclidean statistics for covariance
matrices, with applications to diffusion
tensor imaging . . . . . . . . . . . . . 1102--1123
Sungduk Kim and
Yingmei Xi and
Ming-Hui Chen A new latent cure rate marker model for
survival data . . . . . . . . . . . . . 1124--1146
Erkan Ozge Buzbas and
Paul Joyce Maximum likelihood estimates under
$k$-allele models with selection can be
numerically unstable . . . . . . . . . . 1147--1162
Elizabeth R. Brown Assessing the association between trends
in a biomarker and risk of event with an
application in pediatric HIV/AIDS . . . 1163--1182
W. Evan Johnson and
X. Shirley Liu and
Jun S. Liu Doubly stochastic continuous-time hidden
Markov approach for analyzing genome
tiling arrays . . . . . . . . . . . . . 1183--1203
Asger Hobolth and
Eric A. Stone Simulation from endpoint-conditioned,
continuous-time Markov chains on a
finite state space, with applications to
molecular evolution . . . . . . . . . . 1204--1231
Michael A. Newton Introducing the discussion paper by
Székely and Rizzo . . . . . . . . . . . . 1233--1235
Gábor J. Székely and
Maria L. Rizzo Brownian distance covariance . . . . . . 1236--1265
Peter J. Bickel and
Ying Xu Discussion of: Brownian distance
covariance . . . . . . . . . . . . . . . 1266--1269
Michael R. Kosorok Discussion of: Brownian distance
covariance . . . . . . . . . . . . . . . 1270--1278
Leslie Cope Discussion of: Brownian distance
covariance . . . . . . . . . . . . . . . 1279--1281
Andrey Feuerverger Discussion of: Brownian distance
covariance . . . . . . . . . . . . . . . 1282--1284
Arthur Gretton and
Kenji Fukumizu and
Bharath K. Sriperumbudur Discussion of: Brownian distance
covariance . . . . . . . . . . . . . . . 1285--1294
Bruno Rémillard Discussion of: Brownian distance
covariance . . . . . . . . . . . . . . . 1295--1298
Christopher R. Genovese Discussion of: Brownian distance
covariance . . . . . . . . . . . . . . . 1299--1302
Gábor J. Székely and
Maria L. Rizzo Rejoinder: Brownian distance covariance 1303--1308
Keith A. Baggerly and
Kevin R. Coombes Deriving chemosensitivity from cell
lines: Forensic bioinformatics and
reproducible research in high-throughput
biology . . . . . . . . . . . . . . . . 1309--1334
Herman Chernoff and
Shaw-Hwa Lo and
Tian Zheng Discovering influential variables: a
method of partitions . . . . . . . . . . 1335--1369
Edward Mulrow and
Hee-Choon Shin and
Fritz Scheuren Assessing uncertainty in the American
Indian Trust Fund . . . . . . . . . . . 1370--1381
Yingchun Zhou and
Nell Sedransk Functional data analytic approach of
modeling ECG T-wave shape to measure
cardiovascular behavior . . . . . . . . 1382--1402
Sivan Aldor-Noiman and
Paul D. Feigin and
Avishai Mandelbaum Workload forecasting for a call center:
Methodology and a case study . . . . . . 1403--1447
Sarat C. Dass and
Mingfei Li Hierarchical mixture models for
assessing fingerprint individuality . . 1448--1466
Josue G. Martinez and
Jianhua Z. Huang and
Robert C. Burghardt and
Rola Barhoumi and
Raymond J. Carroll Use of multiple singular value
decompositions to analyze complex
intracellular calcium ion signals . . . 1467--1492
Tucker McElroy Incompatibility of trends in multi-year
estimates from the American Community
Survey . . . . . . . . . . . . . . . . . 1493--1504
Jan van den Broek and
Hiroshi Nishiura Using epidemic prevalence data to
jointly estimate reproduction and
removal . . . . . . . . . . . . . . . . 1505--1520
David A. Orlando and
Edwin S. Iversen, Jr. and
Alexander J. Hartemink and
Steven B. Haase A branching process model for flow
cytometry and budding index measurements
in cell synchrony experiments . . . . . 1521--1541
Li-Chu Chien and
I-Shou Chang and
Shih Sheng Jiang and
Pramod K. Gupta and
Chi-Chung Wen and
Yuh-Jenn Wu and
Chao A. Hsiung Profiling time course expression of
virus genes --- an illustration of
Bayesian inference under shape
restrictions . . . . . . . . . . . . . . 1542--1565
Michiel Debruyne An outlier map for Support Vector
Machine classification . . . . . . . . . 1566--1580
Nozer D. Singpurwalla The utility of reliability and survival 1581--1596
Burcu Aydìn and
Gábor Pataki and
Haonan Wang and
Elizabeth Bullitt and
J. S. Marron A principal component analysis for trees 1597--1615
Iain M. Johnstone Approximate null distribution of the
largest root in multivariate analysis 1616--1633
Xingdong Feng and
Xuming He Inference on low-rank data matrices with
applications to microarray data . . . . 1634--1654
James G. Scott Nonparametric Bayesian multiple testing
for longitudinal performance
stratification . . . . . . . . . . . . . 1655--1674
Daniel Merl and
Julia Ling-Yu Chen and
Jen-Tsan Chi and
Mike West An integrative analysis of cancer gene
expression studies using Bayesian latent
factor modeling . . . . . . . . . . . . 1675--1694
Youyi Fong and
Peter Guttorp and
Janis Abkowitz Bayesian inference and model choice in a
hidden stochastic two-compartment model
of hematopoietic stem cell fate
decisions . . . . . . . . . . . . . . . 1695--1709
Wei-Yin Loh Improving the precision of
classification trees . . . . . . . . . . 1710--1737
Ming Yuan and
V. Roshan Joseph and
Hui Zou Structured variable selection and
estimation . . . . . . . . . . . . . . . 1738--1757
Daniel Gervini Detecting and handling outlying
trajectories in irregularly sampled
functional datasets . . . . . . . . . . 1758--1775
Fabio Rigat and
Jim Q. Smith Semi-parametric dynamic time series
modelling with applications to detecting
neural dynamics . . . . . . . . . . . . 1776--1804
Yufen Zhang and
James S. Hodges and
Sudipto Banerjee Smoothed ANOVA with spatial effects as a
competitor to MCAR in multivariate
spatial smoothing . . . . . . . . . . . 1805--1830
Stephen E. Fienberg Introduction to papers on the modeling
and analysis of network data . . . . . . 1--4
Mark S. Handcock and
Krista J. Gile Modeling social networks from sampled
data . . . . . . . . . . . . . . . . . . 5--25
Cheolwoo Park and
Felix Hernández-Campos and
J. S. Marron and
Kevin Jeffay and
F. Donelson Smith Analysis of dependence among size, rate
and duration in Internet flows . . . . . 26--52
Jie Peng and
Ji Zhu and
Anna Bergamaschi and
Wonshik Han and
Dong-Young Noh and
Jonathan R. Pollack and
Pei Wang Regularized multivariate regression for
identifying master predictors with
application to integrative genomics
study of breast cancer . . . . . . . . . 53--77
Harsh Singhal and
George Michailidis Optimal experiment design in a filtering
context with application to sampled
network data . . . . . . . . . . . . . . 78--93
Mladen Kolar and
Le Song and
Amr Ahmed and
Eric P. Xing Estimating time-varying networks . . . . 94--123
Jonathan Chang and
David M. Blei Hierarchical relational models for
document networks . . . . . . . . . . . 124--150
Wolfgang Jank and
Inbal Yahav E-loyalty networks in online auctions 151--178
Ann B. Lee and
Diana Luca and
Kathryn Roeder A spectral graph approach to discovering
genetic ancestry . . . . . . . . . . . . 179--202
Mária Süveges and
Anthony C. Davison Model misspecification in peaks over
threshold analysis . . . . . . . . . . . 203--221
Bhojnarine R. Rambharat and
Anthony E. Brockwell Sequential Monte Carlo pricing of
American-style options under stochastic
volatility models . . . . . . . . . . . 222--265
Hugh A. Chipman and
Edward I. George and
Robert E. McCulloch BART: Bayesian additive regression trees 266--298
QiQi Lu and
Robert Lund and
Thomas C. M. Lee An MDL approach to the climate
segmentation problem . . . . . . . . . . 299--319
Elias Chaibub Neto and
Mark P. Keller and
Alan D. Attie and
Brian S. Yandell Causal graphical models in systems
genetics: a unified framework for joint
inference of causal network and genetic
architecture for correlated phenotypes 320--339
Tian Siva Tian and
Gareth M. James and
Rand R. Wilcox A multivariate adaptive stochastic
search method for dimensionality
reduction in classification . . . . . . 340--365
Kenneth E. Shirley and
Dylan S. Small and
Kevin G. Lynch and
Stephen A. Maisto and
David W. Oslin Hidden Markov models for alcoholism
treatment trial data . . . . . . . . . . 366--395
Thomas Brendan Murphy and
Nema Dean and
Adrian E. Raftery Variable selection and updating in
model-based discriminant analysis for
high dimensional data with food
authenticity applications . . . . . . . 396--421
Omkar Muralidharan An empirical Bayes mixture method for
effect size and false discovery rate
estimation . . . . . . . . . . . . . . . 422--438
Brian J. Reich and
Dipankar Bandyopadhyay A latent factor model for spatial data
with informative missingness . . . . . . 439--459
Hua Liang and
Hongyu Miao and
Hulin Wu Estimation of constant and time-varying
dynamic parameters of HIV infection in a
nonlinear differential equation model 460--483
Elizabeth C. Mannshardt-Shamseldin and
Richard L. Smith and
Stephan R. Sain and
Linda O. Mearns and
Daniel Cooley Downscaling extremes: a comparison of
extreme value distributions in
point-source and gridded precipitation
data . . . . . . . . . . . . . . . . . . 484--502
Miika Ahdesmäki and
Korbinian Strimmer Feature selection in omics prediction
problems using cat scores and false
nondiscovery rate control . . . . . . . 503--519
Rui Wang and
Lu Tian and
Tianxi Cai and
L. J. Wei Nonparametric inference procedure for
percentiles of the random effects
distribution in meta-analysis . . . . . 520--532
Stephen E. Fienberg Introduction to papers on the modeling
and analysis of network data --- II . . 533--534
Eric P. Xing and
Wenjie Fu and
Le Song A state-space mixed membership
blockmodel for dynamic network
tomography . . . . . . . . . . . . . . . 535--566
Tom A. B. Snijders and
Johan Koskinen and
Michael Schweinberger Maximum likelihood estimation for social
network dynamics . . . . . . . . . . . . 567--588
Ya Xu and
Justin S. Dyer and
Art B. Owen Empirical stationary correlations for
semi-supervised learning on graphs . . . 589--614
Ricardo Silva and
Katherine Heller and
Zoubin Ghahramani and
Edoardo M. Airoldi Ranking relations using analogies in
biological and information networks . . 615--644
Nicholas A. Heard and
David J. Weston and
Kiriaki Platanioti and
David J. Hand Bayesian anomaly detection methods for
social networks . . . . . . . . . . . . 645--662
Gareth M. James and
Chiara Sabatti and
Nengfeng Zhou and
Ji Zhu Sparse regulatory networks . . . . . . . 663--686
Hugo Zanghi and
Franck Picard and
Vincent Miele and
Christophe Ambroise Strategies for online inference of
model-based clustering in large and
growing networks . . . . . . . . . . . . 687--714
Mahendra Mariadassou and
Stéphane Robin and
Corinne Vacher Uncovering latent structure in valued
graphs: A variational approach . . . . . 715--742
Anat Sakov and
Ilan Golani and
Dina Lipkind and
Yoav Benjamini High-throughput data analysis in
behavior genetics . . . . . . . . . . . 743--763
Genevera I. Allen and
Robert Tibshirani Transposable regularized covariance
models with an application to missing
data imputation . . . . . . . . . . . . 764--790
Michael R. Huber and
Rodney X. Sturdivant Building a model for scoring 20 or more
runs in a baseball game . . . . . . . . 791--804
Dipankar Bandyopadhyay and
Debajyoti Sinha and
Stuart Lipsitz and
Elizabeth Letourneau Changing approaches of prosecutors
towards juvenile repeated sex-offenders:
a Bayesian evaluation . . . . . . . . . 805--829
John Hughes and
John Fricks and
William Hancock Likelihood inference for particle
location in fluorescence microscopy . . 830--848
Carrie A. Hosman and
Ben B. Hansen and
Paul W. Holland The sensitivity of linear regression
coefficients' confidence limits to the
omission of a confounder . . . . . . . . 849--870
Audrey Qiuyan Fu and
Diane P. Genereux and
Reinhard Stöger and
Charles D. Laird and
Matthew Stephens Statistical inference of transmission
fidelity of DNA methylation patterns
over somatic cell divisions in mammals 871--892
Woncheol Jang and
Ji Meng Loh Density estimation for grouped data with
application to line transect sampling 893--915
Kristin P. Lennox and
David B. Dahl and
Marina Vannucci and
Ryan Day and
Jerry W. Tsai A Dirichlet process mixture of hidden
Markov models for protein structure
prediction . . . . . . . . . . . . . . . 916--942
Kimberly F. Sellers and
Galit Shmueli A flexible regression model for count
data . . . . . . . . . . . . . . . . . . 943--961
Qunhua Li and
Michael J. MacCoss and
Matthew Stephens A nested mixture model for protein
identification using mass spectrometry 962--987
Xiaodan Fan and
Saumyadipta Pyne and
Jun S. Liu Bayesian meta-analysis for identifying
periodically expressed genes in fission
yeast cell cycle . . . . . . . . . . . . 988--1013
Wei Sun and
Fred A. Wright A geometric interpretation of the
permutation $p$-value and its
application in eQTL studies . . . . . . 1014--1033
Maria L. Rizzo and
Gábor J. Székely DISCO analysis: a nonparametric
extension of analysis of variance . . . 1034--1055
Martin Slawski and
Wolfgang zu Castell and
Gerhard Tutz Feature selection guided by structural
information . . . . . . . . . . . . . . 1056--1080
Stergios B. Fotopoulos and
Venkata K. Jandhyala and
Elena Khapalova Exact asymptotic distribution of
change-point mle for change in the mean
of Gaussian sequences . . . . . . . . . 1081--1104
Jan van den Brakel and
Joeri Roels Intervention analysis with state-space
models to estimate discontinuities due
to a survey redesign . . . . . . . . . . 1105--1138
George Woodworth and
Joseph Kadane Age- and time-varying proportional
hazards models for employment
discrimination . . . . . . . . . . . . . 1139--1157
Xiaoquan Wen and
Matthew Stephens Using linear predictors to impute allele
frequencies from summary or pooled
genotype data . . . . . . . . . . . . . 1158--1182
Yiping Dou and
Nhu D. Le and
James V. Zidek Modeling hourly ozone concentration
fields . . . . . . . . . . . . . . . . . 1183--1213
Gengxin Li and
Yuehua Cui A general statistical framework for
dissecting parent-of-origin effects
underlying endosperm traits in flowering
plants . . . . . . . . . . . . . . . . . 1214--1233
Brian Kriegler and
Richard Berk Small area estimation of the homeless in
Los Angeles: an application of
cost-sensitive stochastic gradient
boosting . . . . . . . . . . . . . . . . 1234--1255
Siddhartha R. Dalal and
Bing Han Detection of radioactive material
entering national ports: a Bayesian
approach to radiation portal data . . . 1256--1271
James M. Kilner and
Karl J. Friston Topological inference for EEG and MEG 1272--1290
Natalie Shlomo and
Chris Skinner Assessing the protection provided by
misclassification-based disclosure
limitation methods for survey microdata 1291--1310
Ada Lau and
Patrick McSharry Approaches for multi-step density
forecasts with application to aggregated
wind power . . . . . . . . . . . . . . . 1311--1341
Melanie A. Wilson and
Edwin S. Iversen and
Merlise A. Clyde and
Scott C. Schmidler and
Joellen M. Schildkraut Bayesian model search and multilevel
inference for SNP association studies 1342--1364
Kingshuk Roy Choudhury and
Limian Zheng and
John J. Mackrill Analysis of spatial distribution of
marker expression in cells using
boundary distance plots . . . . . . . . 1365--1382
David I. Warton and
Leah C. Shepherd Poisson point process models solve the
``pseudo-absence problem'' for
presence-only data in ecology . . . . . 1383--1402
Avishek Chakraborty and
Alan E. Gelfand and
Adam M. Wilson and
Andrew M. Latimer and
John A. Silander, Jr. Modeling large scale species abundance
with latent spatial processes . . . . . 1403--1429
Holger Dette and
Andrey Pepelyshev and
Tim Holland-Letz Optimal designs for random effect models
with correlated errors with applications
in population pharmacokinetics . . . . . 1430--1450
Yijie Zhou and
Francesca Dominici and
Thomas A. Louis A smoothing approach for masking spatial
data . . . . . . . . . . . . . . . . . . 1451--1475
Andrea S. Foulkes and
Livio Azzoni and
Xiaohong Li and
Margaret A. Johnson and
Colette Smith and
Karam Mounzer and
Luis J. Montaner Prediction-based classification for
longitudinal biomarkers . . . . . . . . 1476--1497
Caiyan Li and
Hongzhe Li Variable selection and regression
analysis for graph-structured covariates
with an application to genomics . . . . 1498--1516
Paul S. Albert and
Joanna H. Shih An approach for jointly modeling
multivariate longitudinal measurements
and discrete time-to-event data . . . . 1517--1532
Pepa Ramirez-Cobo and
Rosa E. Lillo and
Simon Wilson and
Michael P. Wiper Bayesian inference for double Pareto
lognormal queues . . . . . . . . . . . . 1533--1557
J. L. Wadsworth and
J. A. Tawn and
P. Jonathan Accounting for choice of measurement
scale in extreme value modeling . . . . 1558--1578
Seokho Lee and
Jianhua Z. Huang and
Jianhua Hu Sparse logistic principal components
analysis for binary data . . . . . . . . 1579--1601
Kwun Chuen Gary Chan and
Mei-Cheng Wang Backward estimation of stochastic
processes with failure events as time
origins . . . . . . . . . . . . . . . . 1602--1620
Adele Cutler Remembering Leo Breiman . . . . . . . . 1621--1633
Peter J. Bickel Leo Breiman: an important intellectual
and personal force in statistics, my
life and that of many others . . . . . . 1634--1637
Peter Bühlmann Remembrance of Leo Breiman . . . . . . . 1638--1641
Michael I. Jordan Leo Breiman . . . . . . . . . . . . . . 1642--1643
Richard A. Olshen Remembering Leo Breiman . . . . . . . . 1644--1648
Jerome H. Friedman Remembering Leo . . . . . . . . . . . . 1649--1651
Charles J. Stone Selected recollections of my
relationship with Leo Breiman . . . . . 1652--1655
Jacob Feldman Leo and me . . . . . . . . . . . . . . . 1656
Bin Yu Remembering Leo . . . . . . . . . . . . 1657--1659
Peter J. Bickel and
Nathan Boley and
James B. Brown and
Haiyan Huang and
Nancy R. Zhang Subsampling methods for genomic
inference . . . . . . . . . . . . . . . 1660--1697
Tong Tong Wu and
Kenneth Lange Multicategory vertex discriminant
analysis for high-dimensional data . . . 1698--1721
Jennifer A. Tom and
Janet S. Sinsheimer and
Marc A. Suchard Reuse, recycle, reweigh: Combating
influenza through efficient sequential
Bayesian computation for massive data 1722--1748
Zhongyang Zhang and
Kenneth Lange and
Roel Ophoff and
Chiara Sabatti Reconstructing DNA copy number by
penalized estimation and imputation . . 1749--1773
D. James Greiner and
Kevin M. Quinn Exit polling and racial bloc voting:
Combining individual-level and R $
\times $ C ecological data . . . . . . . 1774--1796
Yuliya V. Karpievitch and
Ashoka D. Polpitiya and
Gordon A. Anderson and
Richard D. Smith and
Alan R. Dabney Liquid chromatography mass
spectrometry-based proteomics:
Biological and technological aspects . . 1797--1823
Dominique-Laurent Couturier and
Maria-Pia Victoria-Feser Zero-inflated truncated generalized
Pareto distribution for the analysis of
radio audience data . . . . . . . . . . 1824--1846
J. Drylewicz and
J. Guedj and
D. Commenges and
R. Thiébaut Modeling the dynamics of biomarkers
during primary HIV infection taking into
account the uncertainty of infection
date . . . . . . . . . . . . . . . . . . 1847--1870
Nicolai Bissantz and
Hajo Holzmann and
Miros\law Pawlak Improving PSF calibration in confocal
microscopic imaging --- estimating and
exploiting bilateral symmetry . . . . . 1871--1891
Mohammed Haddou and
Louis-Paul Rivest and
Michael Pierrynowski A nonlinear mixed effects directional
model for the estimation of the rotation
axes of the human ankle . . . . . . . . 1892--1912
Tingting Zhang and
S. C. Kou Nonparametric inference of doubly
stochastic Poisson process data via the
kernel method . . . . . . . . . . . . . 1913--1941
Veronica J. Berrocal and
Alan E. Gelfand and
David M. Holland A bivariate space--time downscaler under
space and time misalignment . . . . . . 1942--1975
Samiran Ghosh An imputation-based approach for
parameter estimation in the presence of
ambiguous censoring with application in
industrial supply chain . . . . . . . . 1976--1999
Xia Wang and
Dipak K. Dey Generalized extreme value regression for
binary response data: an application to
B2B electronic payments system adoption 2000--2023
Francesco C. Stingo and
Yian A. Chen and
Marina Vannucci and
Marianne Barrier and
Philip E. Mirkes A Bayesian graphical modeling approach
to microRNA regulatory network inference 2024--2048
Nicolai Meinshausen Node harvest . . . . . . . . . . . . . . 2049--2072
Luciano I. de Castro and
Harry J. Paarsch Testing affiliation in private-values
models of first-price auctions using
grid distributions . . . . . . . . . . . 2073--2098
Adam A. Szpiro and
Kenneth M. Rice and
Thomas Lumley Model-robust regression and a Bayesian
``sandwich'' estimator . . . . . . . . . 2099--2113
Xuming He and
Ya-Hui Hsu and
Mingxiu Hu Detection of treatment effects by
covariate-adjusted expected shortfall 2114--2125
Alejandro Jara and
Emmanuel Lesaffre and
Maria De Iorio and
Fernando Quintana Bayesian semiparametric inference for
multivariate doubly-interval-censored
data . . . . . . . . . . . . . . . . . . 2126--2149
Jan Gertheiss and
Gerhard Tutz Sparse modeling of categorial
explanatory variables . . . . . . . . . 2150--2180
Brian Francis and
Regina Dittrich and
Reinhold Hatzinger Modeling heterogeneity in ranked
responses by nonparametric maximum
likelihood: How do Europeans get their
scientific knowledge? . . . . . . . . . 2181--2202
David I. Warton and
Leah C. Shepherd Correction note: Poisson point process
models solve the ``pseudo-absence
problem'' for presence-only data in
ecology . . . . . . . . . . . . . . . . 2203--2204
Ada Lau and
Patrick McSharry Correction note: ``Approaches for
multi-step density forecasts with
application to aggregated wind power'' 2205
Jerry Friedman and
Bin Yu Leo Breiman (1929--2005) . . . . . . . . ??
Michael L. Stein Editorial . . . . . . . . . . . . . . . 1--4
Blakeley B. McShane and
Abraham J. Wyner A statistical analysis of multiple
temperature proxies: Are reconstructions
of surface temperatures over the last
1000 years reliable? . . . . . . . . . . 5--44
L. Mark Berliner Discussion of: ``A statistical analysis
of multiple temperature proxies: Are
reconstructions of surface temperatures
over the last 1000 years reliable?'' . . 45--46
Alexey Kaplan Discussion of: ``A statistical analysis
of multiple temperature proxies: Are
reconstructions of surface temperatures
over the last 1000 years reliable?'' . . 47--51
Richard A. Davis and
Jingchen Liu Discussion of: ``A statistical analysis
of multiple temperature proxies: Are
reconstructions of surface temperatures
over the last 1000 years reliable?'' . . 52--55
Stephen McIntyre and
Ross McKitrick Discussion of: ``A statistical analysis
of multiple temperature proxies: Are
reconstructions of surface temperatures
over the last 1000 years reliable?'' . . 56--60
Murali Haran and
Nathan M. Urban Discussion of: ``A statistical analysis
of multiple temperature proxies: Are
reconstructions of surface temperatures
over the last 1000 years reliable?'' . . 61--64
Gavin A. Schmidt and
Michael E. Mann and
Scott D. Rutherford Discussion of: ``A statistical analysis
of multiple temperature proxies: Are
reconstructions of surface temperatures
over the last 1000 years reliable?'' . . 65--70
Lasse Holmström Discussion of: ``A statistical analysis
of multiple temperature proxies: Are
reconstructions of surface temperatures
over the last 1000 years reliable?'' . . 71--75
Jason E. Smerdon Discussion of: ``A statistical analysis
of multiple temperature proxies: Are
reconstructions of surface temperatures
over the last 1000 years reliable?'' . . 76--79
Doug Nychka and
Bo Li Discussion of: ``A statistical analysis
of multiple temperature proxies: Are
reconstructions of surface temperatures
over the last 1000 years reliable?'' . . 80--82
Martin P. Tingley Spurious predictions with random time
series: The Lasso in the context of
paleoclimatic reconstructions.
Discussion of: A statistical analysis of
multiple temperature proxies: Are
reconstructions of surface temperatures
over the last 1000 years reliable? . . . 83--87
Peter Craigmile and
Bala Rajaratnam Discussion of: ``A statistical analysis
of multiple temperature proxies: Are
reconstructions of surface temperatures
over the last 1000 years reliable?'' . . 88--90
Eugene R. Wahl and
Caspar M. Ammann Discussion of: ``A statistical analysis
of multiple temperature proxies: Are
reconstructions of surface temperatures
over the last 1000 years reliable?'' . . 91--95
Jonathan Rougier Discussion of: ``A statistical analysis
of multiple temperature proxies: Are
reconstructions of surface temperatures
over the last 1000 years reliable?'' . . 96--98
Blakeley B. McShane and
Abraham J. Wyner Rejoinder . . . . . . . . . . . . . . . 99--123
Chaitra H. Nagaraja and
Lawrence D. Brown and
Linda H. Zhao An autoregressive approach to house
price modeling . . . . . . . . . . . . . 124--149
Stephan R. Sain and
Reinhard Furrer and
Noel Cressie A spatial analysis of multivariate
output from regional climate models . . 150--175
Mengxin Li and
Wei-Liem Loh Estimating the number of neurons in
multi-neuronal spike trains . . . . . . 176--200
Lizhen Xu and
Radu V. Craiu and
Lei Sun Bayesian methods to overcome the
winner's curse in genetic studies . . . 201--231
Patrick Breheny and
Jian Huang Coordinate descent algorithms for
nonconvex penalized regression, with
applications to biological feature
selection . . . . . . . . . . . . . . . 232--253
Charles Sutton and
Michael I. Jordan Bayesian inference for queueing networks
and modeling of Internet services . . . 254--282
Jeffrey S. Rosenthal and
Albert H. Yoon Detecting multiple authorship of United
States Supreme Court legal decisions
using function words . . . . . . . . . . 283--308
Pierre Latouche and
Etienne Birmelé and
Christophe Ambroise Overlapping stochastic block models with
application to the French political
blogosphere . . . . . . . . . . . . . . 309--336
Jeff Goldsmith and
Brian Caffo and
Ciprian Crainiceanu and
Daniel Reich and
Yong Du and
Craig Hendrix Nonlinear tube-fitting for the analysis
of anatomical and functional structures 337--363
Jonathan Gelfond and
Lee Ann Zarzabal and
Tarea Burton and
Suzanne Burns and
Mari Sogayar and
Luiz O. F. Penalva Latent rank change detection for
analysis of splice-junction microarrays
with nonlinear effects . . . . . . . . . 364--380
Christopher P. Saunders and
Linda J. Davis and
Andrea C. Lamas and
John J. Miller and
Donald T. Gantz Construction and evaluation of
classifiers for forensic document
analysis . . . . . . . . . . . . . . . . 381--399
Li Su and
Joseph W. Hogan HIV dynamics and natural history
studies: Joint modeling with doubly
interval-censored event time and
infrequent longitudinal data . . . . . . 400--426
Peter Radchenko and
Gareth M. James Improved variable selection with
Forward-Lasso adaptive shrinkage . . . . 427--448
Michael Parzen and
Souparno Ghosh and
Stuart Lipsitz and
Debajyoti Sinha and
Garrett M. Fitzmaurice and
Bani K. Mallick and
Joseph G. Ibrahim A generalized linear mixed model for
longitudinal binary data with a marginal
logit link function . . . . . . . . . . 449--467
Sijian Wang and
Bin Nan and
Saharon Rosset and
Ji Zhu Random lasso . . . . . . . . . . . . . . 468--485
Karim Anaya-Izquierdo and
Frank Critchley and
Karen Vines Orthogonal simple component analysis: a
new, exploratory approach . . . . . . . 486--522
David Bolin and
Finn Lindgren Spatial models generated by nested
stochastic partial differential
equations, with an application to global
ozone mapping . . . . . . . . . . . . . 523--550
Yangxin Huang and
Hulin Wu and
Jeanne Holden-Wiltse and
Edward P. Acosta A dynamic Bayesian nonlinear
mixed-effects model of HIV response
incorporating medication adherence, drug
resistance and covariates . . . . . . . 551--577
Sungkyu Jung and
Mark Foskey and
J. S. Marron Principal arc analysis on direct product
manifolds . . . . . . . . . . . . . . . 578--603
Bhojnarine R. Rambharat and
Anthony E. Brockwell Sequential Monte Carlo pricing of
American-style options under stochastic
volatility models . . . . . . . . . . . 604
Susan M. Paddock and
Sarah B. Hunter and
Katherine E. Watkins and
Daniel F. McCaffrey Analysis of rolling group therapy data
using conditionally autoregressive
priors . . . . . . . . . . . . . . . . . 605--627
Daniel Percival and
Kathryn Roeder and
Roni Rosenfeld and
Larry Wasserman Structured, sparse regression with
application to HIV drug resistance . . . 628--644
David Siegmund and
Benjamin Yakir and
Nancy R. Zhang Detecting simultaneous variant intervals
in aligned sequences . . . . . . . . . . 645--668
Yazhen Wang Quantum Monte Carlo simulation . . . . . 669--683
Haiyong Xu and
Frederic Paik Schoenberg Point process modeling of wildfire
hazard in Los Angeles County, California 684--704
Valeria D'Amato and
Gabriella Piscopo and
Maria Russolillo The mortality of the Italian population:
Smoothing techniques on the Lee--Carter
model . . . . . . . . . . . . . . . . . 705--724
Ruiyan Luo and
Hongyu Zhao Bayesian hierarchical modeling for
signaling pathway inference from single
cell interventional data . . . . . . . . 725--745
Xu Han and
Dylan S. Small and
Dean P. Foster and
Vishal Patel The effect of winning an Oscar Award on
survival: Correcting for healthy
performer survivor bias with a rank
preserving structural accelerated
failure time model . . . . . . . . . . . 746--772
Daniel F. McCaffrey and
J. R. Lockwood Missing data in value-added modeling of
teacher effects . . . . . . . . . . . . 773--797
Tze Leung Lai and
Haipeng Xing and
Zehao Chen Mean--variance portfolio optimization
when means and covariances are unknown 798--823
Jae Kwang Kim and
Wayne A. Fuller and
William R. Bell Variance estimation for nearest neighbor
imputation for US Census long form data 824--842
Anton H. Westveld and
Peter D. Hoff A mixed effects model for longitudinal
relational and network data, with
applications to international trade and
conflict . . . . . . . . . . . . . . . . 843--872
Doug Speed and
Simon Tavaré Sparse Partitioning: Nonlinear
regression with binary or tertiary
predictors, with application to
association studies . . . . . . . . . . 873--893
Jeffrey S. Morris and
Veerabhadran Baladandayuthapani and
Richard C. Herrick and
Pietro Sanna and
Howard Gutstein Automated analysis of quantitative image
data using isomorphic functional mixed
models, with application to proteomics
data . . . . . . . . . . . . . . . . . . 894--923
Ying Yuan and
Guosheng Yin Bayesian phase I/II adaptively
randomized oncology trials with combined
drugs . . . . . . . . . . . . . . . . . 924--942
Amit Zeisel and
Or Zuk and
Eytan Domany FDR control with adaptive procedures and
FDR monotonicity . . . . . . . . . . . . 943--968
Adrian Dobra and
Alex Lenkoski Copula Gaussian graphical models and
their application to modeling functional
disability data . . . . . . . . . . . . 969--993
Jia Li and
George C. Tseng An adaptively weighted statistic for
detecting differential gene expression
when combining multiple transcriptomic
studies . . . . . . . . . . . . . . . . 994--1019
Emily B. Fox and
Erik B. Sudderth and
Michael I. Jordan and
Alan S. Willsky A sticky HDP-HMM with application to
speaker diarization . . . . . . . . . . 1020--1056
Michael Finegold and
Mathias Drton Robust graphical modeling of gene
networks using classical and alternative
$t$-distributions . . . . . . . . . . . 1057--1080
Brent A. Johnson and
Qi Long Survival ensembles by the sum of
pairwise differences with application to
lung cancer microarray studies . . . . . 1081--1101
Mark Fiecas and
Hernando Ombao The generalized shrinkage estimator for
the analysis of functional connectivity
of brain signals . . . . . . . . . . . . 1102--1125
Karen Kafadar Special section on statistics in
neuroscience . . . . . . . . . . . . . . 1127--1131
Xiaoyan Shi and
Joseph G. Ibrahim and
Jeffrey Lieberman and
Martin Styner and
Yimei Li and
Hongtu Zhu Two-stage empirical likelihood for
longitudinal neuroimaging data . . . . . 1132--1158
Vincent Q. Vu and
Pradeep Ravikumar and
Thomas Naselaris and
Kendrick N. Kay and
Jack L. Gallant and
Bin Yu Encoding and decoding V1 fMRI responses
to natural images with sparse
nonparametric models . . . . . . . . . . 1159--1182
Sourabh Bhattacharya and
Ranjan Maitra A nonstationary nonparametric Bayesian
approach to dynamically modeling
effective connectivity in functional
magnetic resonance imaging experiments 1183--1206
Christopher J. Long and
Patrick L. Purdon and
Simona Temereanca and
Neil U. Desai and
Matti S. Hämäläinen and
Emery N. Brown State-space solutions to the dynamic
magnetoencephalography inverse problem
using high performance computing . . . . 1207--1228
Yuriy Mishchenko and
Joshua T. Vogelstein and
Liam Paninski A Bayesian approach for inferring
neuronal connectivity from calcium
fluorescent imaging data . . . . . . . . 1229--1261
Robert E. Kass and
Ryan C. Kelly and
Wei-Liem Loh Assessment of synchrony in multiple
neural spike trains using loglinear
point process models . . . . . . . . . . 1262--1292
Sofia C. Olhede and
Brandon Whitcher Nonparametric tests of structure for
high angular resolution diffusion
imaging in $Q$-space . . . . . . . . . . 1293--1327
Jenný Brynjarsdóttir and
L. Mark Berliner Bayesian hierarchical modeling for
temperature reconstruction from
geothermal data . . . . . . . . . . . . 1328--1359
Lorenzo Trippa and
Giovanni Parmigiani False discovery rates in somatic
mutation studies of cancer . . . . . . . 1360--1378
David S. Matteson and
Mathew W. McLean and
Dawn B. Woodard and
Shane G. Henderson Forecasting emergency medical service
call arrival rates . . . . . . . . . . . 1379--1406
Nozer D. Singpurwalla Network routing in a dynamic environment 1407--1424
Andrew C. Thomas and
Stephen E. Fienberg Discussion of ``Network routing in a
dynamic environment'' . . . . . . . . . 1425--1427
Vishesh Karwa and
Aleksandra B. Slavkovi\'c and
Eric T. Donnell Causal inference in transportation
safety studies: Comparison of potential
outcomes and causal diagrams . . . . . . 1428--1455
Saijuan Zhang and
Raymond J. Carroll and
Douglas Midthune and
Patricia M. Guenther and
Susan M. Krebs-Smith and
Victor Kipnis and
Kevin W. Dodd and
Dennis W. Buckman and
Janet A. Tooze and
Laurence Freedman A new multivariate measurement error
model with zero-inflated dietary data,
and its application to dietary
assessment . . . . . . . . . . . . . . . 1456--1487
Leanna L. House and
Merlise A. Clyde and
Robert L. Wolpert Bayesian nonparametric models for peak
identification in MALDI-TOF mass
spectroscopy . . . . . . . . . . . . . . 1488--1511
Irene Rocchetti and
John Bunge and
Dankmar Böhning Population size estimation based upon
ratios of recapture probabilities . . . 1512--1533
David Knowles and
Zoubin Ghahramani Nonparametric Bayesian sparse factor
models with application to gene
expression modeling . . . . . . . . . . 1534--1552
Andrea Tancredi and
Brunero Liseo A hierarchical Bayesian approach to
record linkage and population size
problems . . . . . . . . . . . . . . . . 1553--1585
Rensheng R. Zhou and
Nicoleta Serban and
Nagi Gebraeel Degradation modeling applied to residual
lifetime prediction using functional
data analysis . . . . . . . . . . . . . 1586--1610
Björn Bornkamp and
Frank Bretz and
Holger Dette and
José Pinheiro Response-adaptive dose-finding under
model uncertainty . . . . . . . . . . . 1611--1631
Eric Gautier Hierarchical Bayesian estimation of
inequality measures with nonrectangular
censored survey data with an application
to wealth distribution of French
households . . . . . . . . . . . . . . . 1632--1656
Jo Bovy and
David W. Hogg and
Sam T. Roweis Extreme deconvolution: Inferring
complete distribution functions from
noisy, heterogeneous and incomplete
observations . . . . . . . . . . . . . . 1657--1677
Qingzhao Yu and
Steven N. MacEachern and
Mario Peruggia Bayesian Synthesis: Combining subjective
analyses, with an application to ozone
data . . . . . . . . . . . . . . . . . . 1678--1698
Juliette Blanchet and
Anthony C. Davison Spatial modeling of extreme snow depth 1699--1725
Danny Pfeffermann and
Victoria Landsman Are private schools better than public
schools? Appraisal for Ireland by
methods for observational studies . . . 1726--1751
Qunhua Li and
James B. Brown and
Haiyan Huang and
Peter J. Bickel Measuring reproducibility of
high-throughput experiments . . . . . . 1752--1779
Yongtao Guan and
Matthew Stephens Bayesian variable selection regression
for genome-wide association studies and
other large-scale problems . . . . . . . 1780--1815
Gail E. Potter and
Mark S. Handcock and
Ira M. Longini, Jr. and
M. Elizabeth Halloran Estimating within-household contact
networks from egocentric data . . . . . 1816--1838
Deepak Agarwal and
Liang Zhang and
Rahul Mazumder Modeling item--item similarities for
personalized recommendations on Yahoo!
front page . . . . . . . . . . . . . . . 1839--1875
Corwin M. Zigler and
Thomas R. Belin The potential for bias in principal
causal effect estimation when treatment
received depends on a key covariate . . 1876--1892
Yuriy Mishchenko and
Liam Paninski Efficient methods for sampling spike
trains in networks of coupled neurons 1893--1919
O. Stenzel and
V. Schmidt and
H. Hassfeld and
R. Thiedmann and
L. J. A. Koster and
S. D. Oosterhout and
S. S. van Bavel and
M. M. Wienk and
J. Loos and
R. A. J. Janssen Spatial modeling of the 3D morphology of
hybrid polymer-ZnO solar cells, based on
electron tomography data . . . . . . . . 1920--1947
Sabyasachi Mukhopadhyay and
Sourabh Bhattacharya and
Kajal Dihidar On Bayesian ``central clustering'':
Application to landscape classification
of Western Ghats . . . . . . . . . . . . 1948--1977
Francesco C. Stingo and
Yian A. Chen and
Mahlet G. Tadesse and
Marina Vannucci Incorporating biological information
into linear models: a Bayesian approach
to the selection of pathways and genes 1978--2002
Qi Long and
Matthias Chung and
Carlos S. Moreno and
Brent A. Johnson Risk prediction for prostate cancer
recurrence through regularized
estimation with simultaneous adjustment
for nonlinear clinical effects . . . . . 2003--2023
Nicoleta Serban A space--time varying coefficient model:
The equity of service accessibility . . 2024--2051
Yu Zhang and
Jing Zhang and
Jun S. Liu Block-based Bayesian epistasis
association mapping with application to
WTCCC type 1 diabetes data . . . . . . . 2052--2077
Debashis Paul and
Jie Peng and
Prabir Burman Semiparametric modeling of autonomous
nonlinear dynamical systems with
application to plant growth . . . . . . 2078--2108
Zeny Feng and
William W. L. Wong and
Xin Gao and
Flavio Schenkel Generalized genetic association study
with samples of related individuals . . 2109--2130
Charlotte Soneson and
Magnus Fontes A method for visual identification of
small sample subgroups and potential
biomarkers . . . . . . . . . . . . . . . 2131--2149
Miguel A. Martinez-Beneito and
Gonzalo García-Donato and
Diego Salmerón A Bayesian Joinpoint regression model
with an unknown number of break-points 2150--2168
Daniel Samarov and
J. S. Marron and
Yufeng Liu and
Christopher Grulke and
Alexander Tropsha Local kernel canonical correlation
analysis with application to virtual
drug screening . . . . . . . . . . . . . 2169--2196
Georg M. Goerg Lambert $W$ random variables --- a new
family of generalized skewed
distributions with applications to risk
estimation . . . . . . . . . . . . . . . 2197--2230
Thomas Kitching and
Sreekumar Balan and
Gary Bernstein and
Matthias Bethge and
Sarah Bridle and
Frederic Courbin and
Marc Gentile and
Alan Heavens and
Michael Hirsch and
Reshad Hosseini and
Alina Kiessling and
Adam Amara and
Donnacha Kirk and
Konrad Kuijken and
Rachel Mandelbaum and
Baback Moghaddam and
Guldariya Nurbaeva and
Stephane Paulin-Henriksson and
Anais Rassat and
Jason Rhodes and
Bernhard Schölkopf and
John Shawe-Taylor and
Mandeep Gill and
Marina Shmakova and
Andy Taylor and
Malin Velander and
Ludovic van Waerbeke and
Dugan Witherick and
David Wittman and
Stefan Harmeling and
Catherine Heymans and
Richard Massey and
Barnaby Rowe and
Tim Schrabback and
Lisa Voigt Gravitational Lensing Accuracy Testing
2010 (GREAT10) Challenge Handbook . . . 2231--2263
Karen Kafadar Special section on modern multivariate
analysis . . . . . . . . . . . . . . . . 2265
Omar De la Cruz and
Susan Holmes The duality diagram in data analysis:
Examples of modern applications . . . . 2266--2277
Stéphane Dray and
Thibaut Jombart Revisiting Guerry's data: Introducing
spatial constraints in multivariate
analysis . . . . . . . . . . . . . . . . 2278--2299
Jean Thioulouse Simultaneous analysis of a sequence of
paired ecological tables: a comparison
of several methods . . . . . . . . . . . 2300--2325
Elizabeth Purdom Analysis of a data matrix and a graph:
Metagenomic data and the phylogenetic
tree . . . . . . . . . . . . . . . . . . 2326--2358
Stefano Conti and
Anne M. Presanis and
Maaike G. van Veen and
Maria Xiridou and
Martin C. Donoghoe and
Annemarie Rinder Stengaard and
Daniela De Angelis Modeling of the HIV infection epidemic
in the Netherlands: a multi-parameter
evidence synthesis approach . . . . . . 2359--2384
Luis Gutiérrez and
Fernando A. Quintana Multivariate Bayesian semiparametric
models for authentication of food and
beverages . . . . . . . . . . . . . . . 2385--2402
Jacob Bien and
Robert Tibshirani Prototype selection for interpretable
classification . . . . . . . . . . . . . 2403--2424
Brian J. Reich and
Jo Eidsvik and
Michele Guindani and
Amy J. Nail and
Alexandra M. Schmidt A class of covariate-dependent
spatiotemporal covariance functions for
the analysis of daily ozone
concentration . . . . . . . . . . . . . 2425--2447
Adam R. Brentnall and
Stephen W. Duffy and
Martin J. Crowder and
Maureen G. C. Gillan and
Susan M. Astley and
Matthew G. Wallis and
Jonathan James and
Caroline R. M. Boggis and
Fiona J. Gilbert A method for exploratory
repeated-measures analysis applied to a
breast-cancer screening study . . . . . 2448--2469
Cari G. Kaufman and
Derek Bingham and
Salman Habib and
Katrin Heitmann and
Joshua A. Frieman Efficient emulators of computer
experiments using compactly supported
correlation functions, with an
application to cosmology . . . . . . . . 2470--2492
Daniela M. Witten Classification and clustering of
sequencing data using a Poisson model 2493--2518
Huiyan Sang and
Mikyoung Jun and
Jianhua Z. Huang Covariance approximation for large
multivariate spatial data sets with an
application to multiple climate model
errors . . . . . . . . . . . . . . . . . 2519--2548
Robert Alan Clements and
Frederic Paik Schoenberg and
Danijel Schorlemmer Residual analysis methods for
space--time point processes with
applications to earthquake forecast
models in California . . . . . . . . . . 2549--2571
Victor M. Panaretos and
Kjell Konis Sparse approximations of protein
structure from noisy random projections 2572--2602
Irina Czogiel and
Ian L. Dryden and
Christopher J. Brignell Bayesian matching of unlabeled marked
point sets using random fields, with an
application to molecular alignment . . . 2603--2629
Jianxin Yin and
Hongzhe Li A sparse conditional Gaussian graphical
model for analysis of genetical genomics
data . . . . . . . . . . . . . . . . . . 2630--2650
Enrique F. Schisterman and
Albert Vexler and
Aijun Ye and
Neil J. Perkins A combined efficient design for
biomarker data subject to a limit of
detection due to measuring instrument
sensitivity . . . . . . . . . . . . . . 2651--2667
Hui Shen and
William J. Welch and
Jacqueline M. Hughes-Oliver Efficient, adaptive cross-validation for
tuning and comparing models, with
application to drug discovery . . . . . 2668--2687
Gail E. Potter and
Mark S. Handcock and
Ira M. Longini and
M. Elizabeth Halloran Estimating within-school contact
networks to understand influenza
transmission . . . . . . . . . . . . . . 1--26
Zhiwei Zhang and
Paul S. Albert and
Bruce Simons-Morton Marginal analysis of longitudinal count
data in long sequences: Methods and
applications to a driving study . . . . 27--54
Edward I. George and
Sam K. Hui Optimal pricing using online auction
experiments: A Pólya tree approach . . . 55--82
Paul R. Rosenbaum An exact adaptive test with superior
design sensitivity in an observational
study of treatments for ovarian cancer 83--105
Michael D. Porter and
Gentry White Self-exciting hurdle models for
terrorist activity . . . . . . . . . . . 106--124
Stéphanie Allassonni\`ere and
Laurent Younes A stochastic algorithm for probabilistic
independent component analysis . . . . . 125--160
Nicholas G. Polson and
James G. Scott Good, great, or lucky? Screening for
firms with sustained superior
performance using heavy-tailed priors 161--185
Antonio Galves and
Charlotte Galves and
Jesús E. García and
Nancy L. Garcia and
Florencia Leonardi Context tree selection and linguistic
rhythm retrieval from written texts . . 186--209
Lucio Barabesi and
Sara Franceschi and
Marzia Marcheselli Properties of design-based estimation
under stratified spatial sampling with
application to canopy coverage
estimation . . . . . . . . . . . . . . . 210--228
Hao Wang and
Jerome P. Reiter Multiple imputation for sharing precise
geographies in public use data . . . . . 229--252
Ronny Luss and
Saharon Rosset and
Moni Shahar Efficient regularized isotonic
regression with application to
gene--gene interaction search . . . . . 253--283
Hedibert F. Lopes and
Alexandra M. Schmidt and
Esther Salazar and
Mariana Gómez and
Marcel Achkar Measuring the vulnerability of the
Uruguayan population to vector-borne
diseases via spatially hierarchical
factor models . . . . . . . . . . . . . 284--303
Andrea Riebler and
Leonhard Held and
Håvard Rue Estimation and extrapolation of time
trends in registry data --- Borrowing
strength from related populations . . . 304--333
Peng Wei and
Wei Pan Bayesian joint modeling of multiple gene
networks and diverse genomic data to
identify target genes of a transcription
factor . . . . . . . . . . . . . . . . . 334--355
Chung-Hsing Chen and
Wen-Chi Su and
Chih-Yu Chen and
Jing-Ying Huang and
Fang-Yu Tsai and
Wen-Chang Wang and
Chao A. Hsiung and
King-Song Jeng and
I-Shou Chang A Bayesian measurement error model for
two-channel cell-based RNAi data with
replicates . . . . . . . . . . . . . . . 356--382
Joseph W. Richards and
Ann B. Lee and
Chad M. Schafer and
Peter E. Freeman Prototype selection for parameter
estimation in complex models . . . . . . 383--408
Ying Wei and
Zhibiao Zhao and
Dennis K. J. Lin Profile control charts based on
nonparametric $ L - 1 $ regression
methods . . . . . . . . . . . . . . . . 409--427
Karen Kafadar Special section: Statistical methods for
next-generation gene sequencing data . . 429--431
Zhen Li and
Vikneswaran Gopal and
Xiaobo Li and
John M. Davis and
George Casella Simultaneous SNP identification in
association studies with missing data 432--456
Baiyu Zhou and
Alice S. Whittemore Improving sequence-based genotype calls
with linkage disequilibrium and pedigree
information . . . . . . . . . . . . . . 457--475
Jeremy J. Shen and
Nancy R. Zhang Change-point model on nonhomogeneous
Poisson processes with application in
copy number profiling by next-generation
DNA sequencing . . . . . . . . . . . . . 476--496
Xi Kathy Zhou and
Fei Liu and
Andrew J. Dannenberg A Bayesian model averaging approach for
observational gene expression studies 497--520
Loki Natarajan and
Minya Pu and
Karen Messer Statistical tests for the intersection
of independent lists of genes:
Sensitivity, FDR, and type I error
control . . . . . . . . . . . . . . . . 521--541
Donatello Telesca and
Peter Müller and
Giovanni Parmigiani and
Ralph S. Freedman Modeling dependent gene expression . . . 542--560
Laurent Jacob and
Pierre Neuvial and
Sandrine Dudoit More power via graph-structured tests
for differential expression of gene
networks . . . . . . . . . . . . . . . . 561--600
Chong Liu and
Surajit Ray and
Giles Hooker and
Mark Friedl Functional factor analysis for periodic
remote sensing data . . . . . . . . . . 601--624
Brian M. Hartman and
Bani K. Mallick and
Debabrata Talukdar Investigating international new product
diffusion speed: a semiparametric
approach . . . . . . . . . . . . . . . . 625--651
Tyler H. McCormick and
Cynthia Rudin and
David Madigan Bayesian hierarchical rule modeling for
predicting medical conditions . . . . . 652--668
Oleksandr Gromenko and
Piotr Kokoszka and
Lie Zhu and
Jan Sojka Estimation and testing for spatially
indexed curves with application to
ionospheric and magnetic field trends 669--696
Yu Ryan Yue and
Martin A. Lindquist and
Ji Meng Loh Meta-analysis of functional neuroimaging
data using Bayesian nonparametric binary
regression . . . . . . . . . . . . . . . 697--718
Xi Chen and
Qihang Lin and
Seyoung Kim and
Jaime G. Carbonell and
Eric P. Xing Smoothing proximal gradient method for
general structured sparse regression . . 719--752
Guangyu Zhang and
Ying Yuan Bayesian modeling longitudinal dyadic
data with nonignorable dropout, with
application to a breast cancer study . . 753--771
Polly Phipps and
Daniell Toth Analyzing establishment nonresponse
using an interpretable regression tree
model with linked administrative data 772--794
Julien Chiquet and
Yves Grandvalet and
Camille Charbonnier Sparsity with sign-coherent groups of
variables via the cooperative-Lasso . . 795--830
Peter G. M. van der Heijden and
Joe Whittaker and
Maarten Cruyff and
Bart Bakker and
Rik van der Vliet People born in the Middle East but
residing in the Netherlands: Invariant
population size estimates and the role
of active and passive covariates . . . . 831--852
Kanti V. Mardia and
Emma M. Petty and
Charles C. Taylor Matching markers and unlabeled
configurations in protein gels . . . . . 853--869
Spencer Hays and
Haipeng Shen and
Jianhua Z. Huang Functional dynamic factor models with
application to yield curve forecasting 870--894
Art B. Owen and
Dean Eckles Bootstrapping data arrays of arbitrary
order . . . . . . . . . . . . . . . . . 895--927
Juli Atherton and
Nathan Boley and
Ben Brown and
Nobuo Ogawa and
Stuart M. Davidson and
Michael B. Eisen and
Mark D. Biggin and
Peter Bickel A model for sequential evolution of
ligands by exponential enrichment
(SELEX) data . . . . . . . . . . . . . . 928--949
Chao Du and
S. C. Kou Correlation analysis of enzymatic
reaction of a single protein molecule 950--976
Antoine Chambaz and
Christophe Denis Classification in postural style . . . . 977--993
Bryony J. Hill and
Wilfrid S. Kendall and
Elke Thönnes Fibre-generated point processes and
fields of orientations . . . . . . . . . 994--1020
Tian Siva Tian and
Jianhua Z. Huang and
Haipeng Shen and
Zhimin Li A two-way regularization method for MEG
source reconstruction . . . . . . . . . 1021--1046
Omkar Muralidharan and
Georges Natsoulis and
John Bell and
Hanlee Ji and
Nancy R. Zhang Detecting mutations in mixed sample
sequencing data using empirical Bayes 1047--1067
Natallia Katenka and
Eric D. Kolaczyk Inference and characterization of
multi-attribute networks with
application to computational biology . . 1068--1094
Seyoung Kim and
Eric P. Xing Tree-guided group lasso for
multi-response regression with
structured sparsity, with an application
to eQTL mapping . . . . . . . . . . . . 1095--1117
Steven P. Lund and
Dan Nettleton The importance of distinct modeling
strategies for gene and gene-specific
treatment effects in hierarchical models
for microarray data . . . . . . . . . . 1118--1133
Shaoyu Li and
Yuehua Cui Gene-centric gene--gene interaction: a
model-based kernel machine method . . . 1134--1161
Yong Wang and
Ilze Ziedins and
Mark Holmes and
Neil Challands Tree models for difference and change
detection in a complex environment . . . 1162--1184
Anastasia Voulgaraki and
Benjamin Kedem and
Barry I. Graubard Semiparametric regression in testicular
germ cell data . . . . . . . . . . . . . 1185--1208
Chris. J. Oates and
Sach Mukherjee Network inference and biological
dynamics . . . . . . . . . . . . . . . . 1209--1235
Hai Liu and
Shuangge Ma and
Richard Kronmal and
Kung-Sik Chan Semiparametric zero-inflated modeling in
multi-ethnic study of atherosclerosis
(MESA) . . . . . . . . . . . . . . . . . 1236--1255
Ying Hung Order selection in nonlinear time series
models with application to the study of
cell memory . . . . . . . . . . . . . . 1256--1279
Donghui Yan and
Pei Wang and
Michael Linden and
Beatrice Knudsen and
Timothy Randolph Statistical methods for tissue array
images --- algorithmic scoring and
co-training . . . . . . . . . . . . . . 1280--1305
Yue S. Niu and
Heping Zhang The screening and ranking algorithm to
detect DNA copy number variations . . . 1306--1326
Matthias Kormaksson and
James G. Booth and
Maria E. Figueroa and
Ari Melnick Integrative Model-based clustering of
microarray methylation and expression
data . . . . . . . . . . . . . . . . . . 1327--1347
Tilmann Gneiting Section on the Special Year for
Mathematics of Planet Earth (MPE 2013) 1349--1351
Andrew W. Baggaley and
Richard J. Boys and
Andrew Golightly and
Graeme R. Sarson and
Anvar Shukurov Inference for population dynamics in the
Neolithic period . . . . . . . . . . . . 1352--1376
Panu Erästö and
Lasse Holmström and
Atte Korhola and
Jan Weckström Finding a consensus on credible features
among several paleoclimate
reconstructions . . . . . . . . . . . . 1377--1405
Daniel Cooley and
Richard A. Davis and
Philippe Naveau Approximating the conditional density
given large observed values via a
multivariate extremes framework, with
application to environmental data . . . 1406--1429
Brian J. Reich and
Benjamin A. Shaby A hierarchical max-stable spatial model
for extreme precipitation . . . . . . . 1430--1451
Fabio Sigrist and
Hans R. Künsch and
Werner A. Stahel A dynamic nonstationary spatio-temporal
model for short term prediction of
precipitation . . . . . . . . . . . . . 1452--1477
Giovanna Jona-Lasinio and
Alan Gelfand and
Mattia Jona-Lasinio Spatial analysis of wave direction data
using wrapped Gaussian processes . . . . 1478--1498
Janine B. Illian and
Sigrunn H. Sòrbye and
Håvard Rue A toolbox for fitting complex spatial
point process models using integrated
nested Laplace approximation (INLA) . . 1499--1530
Trond Reitan and
Tore Schweder and
Jorijntje Henderiks Phenotypic evolution studied by layered
stochastic differential equations . . . 1531--1551
S. N. Lahiri and
C. Spiegelman and
J. Appiah and
L. Rilett Gap bootstrap methods for massive data
sets with an application to
transportation engineering . . . . . . . 1552--1587
Jeng-Min Chiou Dynamical functional prediction and
classification, with application to
traffic flow prediction . . . . . . . . 1588--1614
Gelila Tilahun and
Andrey Feuerverger and
Michael Gervers Dating medieval English charters . . . . 1615--1640
Candemir Çi\ug\csar and
Jerald F. Lawless Assessing transient carryover effects in
recurrent event processes, with
application to chronic health conditions 1641--1663
Yunting Sun and
Nancy R. Zhang and
Art B. Owen Multiple hypothesis testing adjusted for
latent variables, with an application to
the AGEMAP gene expression data . . . . 1664--1688
Hao Wang and
Saul Shiffman and
Sandra D. Griffith and
Daniel F. Heitjan Truth and memory: Linking instantaneous
and retrospective self-reported
cigarette consumption . . . . . . . . . 1689--1706
Trina Patel and
Donatello Telesca and
Saji George and
André E. Nel Toxicity profiling of engineered
nanomaterials via multivariate
dose-response surface modeling . . . . . 1707--1729
Vural Aksakalli and
Elvan Ceyhan Optimal obstacle placement with
disambiguations . . . . . . . . . . . . 1730--1774
Qunhua Li and
Jimmy K. Eng and
Matthew Stephens A likelihood-based scoring method for
peptide identification using mass
spectrometry . . . . . . . . . . . . . . 1775--1794
Tyler H. McCormick and
Tian Zheng Latent demographic profile estimation in
hard-to-reach groups . . . . . . . . . . 1795--1813
Juned Siddique and
Ofer Harel and
Catherine M. Crespi Addressing missing data mechanism
uncertainty using multiple-model
multiple imputation: Application to a
longitudinal clinical trial . . . . . . 1814--1837
Shan Ba and
V. Roshan Joseph Composite Gaussian process models for
emulating expensive functions . . . . . 1838--1860
Hai Liu and
Wanzhu Tu A semiparametric regression model for
paired longitudinal outcomes with
application in childhood blood pressure
development . . . . . . . . . . . . . . 1861--1882
M. Filippone and
A. F. Marquand and
C. R. V. Blain and
S. C. R. Williams and
J. Mourão-Miranda and
M. Girolami Probabilistic prediction of neurological
disorders with a statistical assessment
of neuroimaging data modalities . . . . 1883--1905
John A. D. Aston and
Claudia Kirch Evaluating stationarity via change-point
alternatives with applications to fMRI
data . . . . . . . . . . . . . . . . . . 1906--1948
Guido Masarotto and
Cristiano Varin The ranking lasso and its application to
sport tournaments . . . . . . . . . . . 1949--1970
Bradley Efron Bayesian inference and the parametric
bootstrap . . . . . . . . . . . . . . . 1971--1997
Micha Mandel and
Manor Askenazi and
Yi Zhang and
Jarrod A. Marto Variance function estimation in
quantitative mass spectrometry with
application to iTRAQ labeling . . . . . 1--24
José R. Zubizarreta and
Dylan S. Small and
Neera K. Goyal and
Scott Lorch and
Paul R. Rosenbaum Stronger instruments via integer
programming in an observational study of
late preterm birth outcomes . . . . . . 25--50
Robert B. Gramacy and
Matt Taddy and
Stefan M. Wild Variable selection and sensitivity
analysis using dynamic trees, with an
application to computer code performance
tuning . . . . . . . . . . . . . . . . . 51--80
Francesco Finazzi Geostatistical modeling in the presence
of interaction between the measuring
instruments, with an application to the
estimation of spatial market potentials 81--101
Ying Yuan and
Hongtu Zhu and
Martin Styner and
John H. Gilmore and
J. S. Marron Varying coefficient model for modeling
diffusion tensors along white matter
tracts . . . . . . . . . . . . . . . . . 102--125
Xiaojing Wang and
James O. Berger and
Donald S. Burdick Bayesian analysis of dynamic item
response models in educational testing 126--153
Harrison Quick and
Sudipto Banerjee and
Bradley P. Carlin Modeling temporal gradients in
regionally aggregated California asthma
hospitalization data . . . . . . . . . . 154--176
Arno\vst Komárek and
Lenka Komárková Clustering for multivariate continuous
and discrete longitudinal data . . . . . 177--200
Tao Yu and
Chunming Zhang and
Andrew L. Alexander and
Richard J. Davidson Local tests for identifying anisotropic
diffusion areas in human brain with DTI 201--225
Andreas Alfons and
Christophe Croux and
Sarah Gelper Sparse least trimmed squares regression
for analyzing high-dimensional large
data sets . . . . . . . . . . . . . . . 226--248
Jingyuan Yang and
Shili Lin Robust partial likelihood approach for
detecting imprinting and maternal
effects using case-control families . . 249--268
Ronglai Shen and
Sijian Wang and
Qianxing Mo Sparse integrative clustering of
multiple omics data sets . . . . . . . . 269--294
Winston Lin Agnostic notes on regression adjustments
to experimental data: Reexamining
Freedman's critique . . . . . . . . . . 295--318
Debbie J. Dupuis and
Maria-Pia Victoria-Feser Robust VIF regression with application
to variable selection in large data sets 319--341
Minge Xie and
Regina Y. Liu and
C. V. Damaraju and
William H. Olson Incorporating external information in
analyses of clinical trials with binary
outcomes . . . . . . . . . . . . . . . . 342--368
Matti Pirinen and
Peter Donnelly and
Chris C. A. Spencer Efficient computation with a linear
mixed model on large-scale data sets
with applications to genetic studies . . 369--390
Shuang Li and
Li Hsu and
Jie Peng and
Pei Wang Bootstrap inference for network
construction with an application to a
breast cancer microarray study . . . . . 391--417
Jun Chen and
Hongzhe Li Variable selection for sparse
Dirichlet-multinomial regression with an
application to microbiome data analysis 418--442
Kosuke Imai and
Marc Ratkovic Estimating treatment effect
heterogeneity in randomized program
evaluation . . . . . . . . . . . . . . . 443--470
Armin Schwartzman and
Andrew Jaffe and
Yulia Gavrilov and
Clifford A. Meyer Multiple testing of local maxima for
detection of peaks in ChIP-Seq data . . 471--494
Wei-Yin Loh and
Wei Zheng Regression trees for longitudinal and
multiresponse data . . . . . . . . . . . 495--522
Eric F. Lock and
Katherine A. Hoadley and
J. S. Marron and
Andrew B. Nobel Joint and individual variation explained
(JIVE) for integrated analysis of
multiple data types . . . . . . . . . . 523--542
Jaeil Ahn and
Bhramar Mukherjee and
Stephen B. Gruber and
Malay Ghosh Bayesian semiparametric analysis for
two-phase studies of gene-environment
interaction . . . . . . . . . . . . . . 543--569
Robert T. Krafty and
Martica Hall Canonical correlation analysis between
time series and static outcomes, with
application to the spectral analysis of
heart rate variability . . . . . . . . . 570--587
William Kleiber and
Richard W. Katz and
Balaji Rajagopalan Daily minimum and maximum temperature
simulation over complex terrain . . . . 588--612
Thomas Rusch and
Paul Hofmarcher and
Reinhold Hatzinger and
Kurt Hornik Model trees with topic model
preprocessing: An approach for data
journalism illustrated with the
WikiLeaks Afghanistan war logs . . . . . 613--639
Bledar A. Konomi and
Soma S. Dhavala and
Jianhua Z. Huang and
Subrata Kundu and
David Huitink and
Hong Liang and
Yu Ding and
Bani K. Mallick Bayesian object classification of gold
nanoparticles . . . . . . . . . . . . . 640--668
Andrew Crossett and
Ann B. Lee and
Lambertus Klei and
Bernie Devlin and
Kathryn Roeder Refining genetically inferred
relationships using treelet covariance
smoothing . . . . . . . . . . . . . . . 669--690
Ricardo Henao and
J. Will Thompson and
M. Arthur Moseley and
Geoffrey S. Ginsburg and
Lawrence Carin and
Joseph E. Lucas Latent protein trees . . . . . . . . . . 691--713
Julia Mortera and
Paola Vicard and
Cecilia Vergari Object-oriented Bayesian networks for a
decision support system for antitrust
enforcement . . . . . . . . . . . . . . 714--738
Brian Reich and
Daniel Cooley and
Kristen Foley and
Sergey Napelenok and
Benjamin Shaby Extreme value analysis for evaluating
ozone control strategies . . . . . . . . 739--762
Pasquale Valentini and
Luigi Ippoliti and
Lara Fontanella Modeling US housing prices by spatial
dynamic structural equation models . . . 763--798
Vinicius Diniz Mayrink and
Joseph Edward Lucas Sparse latent factor models with
interactions: Analysis of gene
expression data . . . . . . . . . . . . 799--822
Gwenaël G. R. Leday and
Aad W. van der Vaart and
Wessel N. van Wieringen and
Mark A. van de Wiel Modeling association between DNA copy
number and gene expression with
constrained piecewise linear regression
splines . . . . . . . . . . . . . . . . 823--845
Joseph B. Kadane and
Ferdinand L. Næshagen The number of killings in southern rural
Norway, 1300--1569 . . . . . . . . . . . 846--859
Travis L. Gaydos and
Nancy E. Heckman and
Mark Kirkpatrick and
J. R. Stinchcombe and
Johanna Schmitt and
Joel Kingsolver and
J. S. Marron Visualizing genetic constraints . . . . 860--882
Jie Ding and
Lorenzo Trippa and
Xiaogang Zhong and
Giovanni Parmigiani Hierarchical Bayesian analysis of
somatic mutation data in cancer . . . . 883--903
Jiaping Wang and
Hongtu Zhu and
Jianqing Fan and
Kelly Giovanello and
Weili Lin Multiscale adaptive smoothing models for
the hemodynamic response function in
fMRI . . . . . . . . . . . . . . . . . . 904--935
Richard B. Chandler and
J. Andrew Royle Spatially explicit models for inference
about density in unmarked or partially
marked populations . . . . . . . . . . . 936--954
Alberto Sorrentino and
Adam M. Johansen and
John A. D. Aston and
Thomas E. Nichols and
Wilfrid S. Kendall Dynamic filtering of static dipoles in
magnetoencephalography . . . . . . . . . 955--988
Kanti V. Mardia and
Christopher J. Fallaize and
Stuart Barber and
Richard M. Jackson and
Douglas L. Theobald Bayesian alignment of similarity shapes 989--1009
Duy Q. Vu and
David R. Hunter and
Michael Schweinberger Model-based clustering of large networks 1010--1039
Gilles Faÿ and
Jacques Delabrouille and
Gérard Kerkyacharian and
Dominique Picard Testing the isotropy of high energy
cosmic rays using spherical needlets . . 1040--1073
Terrance D. Savitsky and
Susan M. Paddock Bayesian nonparametric hierarchical
modeling for multiple membership data in
grouped attendance interventions . . . . 1074--1094
I-Ping Tu and
Shao-Hsuan Wang and
Yuan-Fu Huang Estimating the occurrence rate of DNA
palindromes . . . . . . . . . . . . . . 1095--1110
Ran Zhang and
Claudia Czado and
Karin Sigloch A Bayesian linear model for the
high-dimensional inverse problem of
seismic tomography . . . . . . . . . . . 1111--1138
Bradford S. Westgate and
Dawn B. Woodard and
David S. Matteson and
Shane G. Henderson Travel time estimation for ambulances
using Bayesian data augmentation . . . . 1139--1161
Michael L. Stein and
Jie Chen and
Mihai Anitescu Stochastic approximation of score
functions for Gaussian processes . . . . 1162--1191
Florence Forbes and
Myriam Charras-Garrido and
Lamiae Azizi and
Senan Doyle and
David Abrial Spatial risk mapping for rare disease
with hidden Markov fields and
variational EM . . . . . . . . . . . . . 1192--1216
Makram Talih A reference-invariant health disparity
index based on Rényi divergence . . . . . 1217--1243
Yuao Hu and
Ye Tian and
Heng Lian Letter to the Editor . . . . . . . . . . 1244--1246
Michael R. Kosorok Correction: Discussion of Brownian
distance covariance . . . . . . . . . . 1247
Andrew Gelman Correction: Should the Democrats move to
the left on economic policy? . . . . . . 1248
Kunlaya Soiaporn and
David Chernoff and
Thomas Loredo and
David Ruppert and
Ira Wasserman Multilevel Bayesian framework for
modeling the production, propagation and
detection of ultra-high energy cosmic
rays . . . . . . . . . . . . . . . . . . 1249--1285
William Kleiber and
Stephan R. Sain and
Matthew J. Heaton and
Michael Wiltberger and
C. Shane Reese and
Derek Bingham Parameter tuning for a multi-fidelity
dynamical model of the magnetosphere . . 1286--1310
Arwen Meister and
Ye Henry Li and
Bokyung Choi and
Wing Hung Wong Learning a nonlinear dynamical system
model of gene regulation: a perturbed
steady-state approach . . . . . . . . . 1311--1333
Audrey Qiuyan Fu and
Steven Russell and
Sarah J. Bray and
Simon Tavaré Bayesian clustering of replicated
time-course gene expression data with
weak signals . . . . . . . . . . . . . . 1334--1361
Edward L. Ionides and
Zhen Wang and
José A. Tapia Granados Macroeconomic effects on mortality
revealed by panel analysis with
nonlinear trends . . . . . . . . . . . . 1362--1385
Jennifer Hill and
Yu-Sung Su Assessing lack of common support in
causal inference using Bayesian
nonparametrics: Implications for
evaluating the effect of breastfeeding
on children's cognitive outcomes . . . . 1386--1420
Joshua P. French and
Stephan R. Sain Spatio-temporal exceedance locations and
confidence regions . . . . . . . . . . . 1421--1449
Tevfik Aktekin and
Refik Soyer and
Feng Xu Assessment of mortgage default risk via
Bayesian state space models . . . . . . 1450--1473
Qing Pan and
Joseph L. Gastwirth Estimating restricted mean job tenures
in semi-competing risk data compensating
victims of discrimination . . . . . . . 1474--1496
A. C. Thomas and
Samuel L. Ventura and
Shane T. Jensen and
Stephen Ma Competing process hazard function models
for player ratings in ice hockey . . . . 1497--1524
George Mohler Modeling and estimation of multi-source
clustering in crime and security data 1525--1539
Lingsong Zhang and
Haipeng Shen and
Jianhua Z. Huang Robust regularized singular value
decomposition with application to
mortality data . . . . . . . . . . . . . 1540--1561
Dominik Liebl Modeling and forecasting electricity
spot prices: A functional data
perspective . . . . . . . . . . . . . . 1562--1592
Stefano Castruccio and
Michael L. Stein Global space--time models for climate
ensembles . . . . . . . . . . . . . . . 1593--1611
Thomas Rusch and
Ilro Lee and
Kurt Hornik and
Wolfgang Jank and
Achim Zeileis Influencing elections with statistics:
Targeting voters with logistic
regression trees . . . . . . . . . . . . 1612--1639
Ying Huang and
Margaret S. Pepe and
Ziding Feng Logistic regression analysis with
standardized markers . . . . . . . . . . 1640--1662
Wanlu Deng and
Zhi Geng and
Hongzhe Li Learning local directed acyclic graphs
based on multivariate time series data 1663--1683
Joseph Guinness and
Michael L. Stein Interpolation of nonstationary high
frequency spatial--temporal temperature
data . . . . . . . . . . . . . . . . . . 1684--1708
Roland Langrock and
Ruth King Maximum likelihood estimation of
mark--recapture--recovery models in the
presence of continuous covariates . . . 1709--1732
Johanna Hardin and
Stephan Ramon Garcia and
David Golan A method for generating realistic
correlation matrices . . . . . . . . . . 1733--1762
Lixun Zhang and
Yongtao Guan and
Brian P. Leaderer and
Theodore R. Holford Estimating daily nitrogen dioxide level:
Exploring traffic effects . . . . . . . 1763--1777
Charles J. Geyer and
Caroline E. Ridley and
Robert G. Latta and
Julie R. Etterson and
Ruth G. Shaw Local adaptation and genetic effects on
fitness: Calculations for exponential
family models with random effects . . . 1778--1795
Lei Nie and
Zhiwei Zhang and
Daniel Rubin and
Jianxiong Chu Likelihood reweighting methods to reduce
potential bias in noninferiority trials
which rely on historical data to make
inference . . . . . . . . . . . . . . . 1796--1813
Christopher Yau and
Christopher C. Holmes A decision-theoretic approach for
segmental classification . . . . . . . . 1814--1835
Susan M. Paddock Editorial . . . . . . . . . . . . . . . 1837
Aaron Clauset and
Ryan Woodard Estimating the historical and future
probabilities of large terrorist events 1838--1865
George Mohler Discussion of ``Estimating the
historical and future probabilities of
large terrorist events'' by Aaron
Clauset and Ryan Woodard . . . . . . . . 1866--1870
Brian J. Reich and
Michael D. Porter Discussion of ``Estimating the
historical and future probabilities of
large terrorist events'' by Aaron
Clauset and Ryan Woodard . . . . . . . . 1871--1875
Gentry White Discussion of ``Estimating the
historical and future probabilities of
large terrorist events'' by Aaron
Clauset and Ryan Woodard . . . . . . . . 1876--1880
Jeff Gill Discussion of ``Estimating the
historical and future probabilities of
large terrorist events'' by Aaron
Clauset and Ryan Woodard . . . . . . . . 1881--1887
Frederic Paik Schoenberg Discussion of ``Estimating the
historical and future probabilities of
large terrorist events'' by Aaron
Clauset and Ryan Woodard . . . . . . . . 1888--1890
Qiurong Cui and
Karl Rohe and
Zhengjun Zhang Discussion of ``Estimating the
historical and future probabilities of
large terrorist events'' by Aaron
Clauset and Ryan Woodard . . . . . . . . 1891--1894
Aaron Clauset and
Ryan Woodard Rejoinder of ``Estimating the historical
and future probabilities of large
terrorist events'' by Aaron Clauset and
Ryan Woodard . . . . . . . . . . . . . . 1895--1897
Mark A. Newell and
Dianne Cook and
Heike Hofmann and
Jean-Luc Jannink An algorithm for deciding the number of
clusters and validation using simulated
data with application to exploring crop
population structure . . . . . . . . . . 1898--1916
William Fithian and
Trevor Hastie Finite-sample equivalence in statistical
models for presence-only data . . . . . 1917--1939
Ming-Hung Kao and
Dibyen Majumdar and
Abhyuday Mandal and
John Stufken Maximin and maximin-efficient
event-related fMRI designs under a
nonlinear model . . . . . . . . . . . . 1940--1959
Bärbel Finkenstädt and
Dan J. Woodcock and
Michal Komorowski and
Claire V. Harper and
Julian R. E. Davis and
Mike R. H. White and
David A. Rand Quantifying intrinsic and extrinsic
noise in gene transcription using the
linear noise approximation: An
application to single cell data . . . . 1960--1982
Jeroen Pannekoek and
Natalie Shlomo and
Ton De Waal Calibrated imputation of numerical data
under linear edit restrictions . . . . . 1983--2006
Yuval Benjamini and
Bin Yu The shuffle estimator for explainable
variance in fMRI experiments . . . . . . 2007--2033
Giwhyun Lee and
Eunshin Byon and
Lewis Ntaimo and
Yu Ding Bayesian spline method for assessing
extreme loads on wind turbines . . . . . 2034--2061
Elizabeth A. Handorf and
Justin E. Bekelman and
Daniel F. Heitjan and
Nandita Mitra Evaluating costs with unmeasured
confounding: A sensitivity analysis for
the treatment effect . . . . . . . . . . 2062--2080
Andrey Feuerverger The tomb next door: an update to
``Statistical analysis of an
archeological find'' . . . . . . . . . . 2081--2105
Alisa J. Stephens and
Eric J. Tchetgen Tchetgen and
Victor De Gruttola Flexible covariate-adjusted exact tests
of randomized treatment effects with
application to a trial of HIV education 2106--2137
Suyu Liu and
Guosheng Yin and
Ying Yuan Bayesian data augmentation dose finding
with continual reassessment method and
delayed toxicity . . . . . . . . . . . . 2138--2156
Nicolas Städler and
Sach Mukherjee Penalized estimation in high-dimensional
hidden Markov models with state-specific
graphical models . . . . . . . . . . . . 2157--2179
Xun Jiang and
Dipak K. Dey and
Rachel Prunier and
Adam M. Wilson and
Kent E. Holsinger A new class of flexible link functions
with application to species
co-occurrence in Cape Floristic Region 2180--2204
Yuping Zhang and
Ronald Davis Principal trend analysis for time-course
data with applications in genomic
medicine . . . . . . . . . . . . . . . . 2205--2228
Zhigen Zhao and
Wei Wang and
Zhi Wei An empirical Bayes testing procedure for
detecting variants in analysis of next
generation sequencing data . . . . . . . 2229--2248
Zhi-Sheng Ye and
Yili Hong and
Yimeng Xie How do heterogeneities in operating
environments affect field failure
predictions and test planning? . . . . . 2249--2271
Philip S. Boonstra and
Bhramar Mukherjee and
Jeremy M. G. Taylor Bayesian shrinkage methods for partially
observed data with many predictors . . . 2272--2292
Alessio Farcomeni and
Daria Scacciatelli Heterogeneity and behavioral response in
continuous time capture--recapture, with
application to street cannabis use in
Italy . . . . . . . . . . . . . . . . . 2293--2314
Charles R. Doss and
Marc A. Suchard and
Ian Holmes and
Midori Kato-Maeda and
Vladimir N. Minin Fitting birth--death processes to panel
data with applications to bacterial DNA
fingerprinting . . . . . . . . . . . . . 2315--2335
Alessandra Mattei and
Fan Li and
Fabrizia Mealli Exploiting multiple outcomes in Bayesian
principal stratification analysis with
application to the evaluation of a job
training program . . . . . . . . . . . . 2336--2360
Jonathan Gruhl and
Elena A. Erosheva and
Paul K. Crane A semiparametric approach to mixed
outcome latent variable models:
Estimating the association between
cognition and regional brain volumes . . 2361--2383
Jérémie Bigot Fréchet means of curves for signal
averaging and application to ECG data
analysis . . . . . . . . . . . . . . . . 2384--2401
Vasanthan Raghavan and
Aram Galstyan and
Alexander G. Tartakovsky Hidden Markov models for the activity
profile of terrorist groups . . . . . . 2402--2430
Edoardo M. Airoldi and
Xiaopei Wang and
Xiaodong Lin Multi-way blockmodels for analyzing
coordinated high-dimensional responses 2431--2457
Curtis Storlie and
Blake Anderson and
Scott Vander Wiel and
Daniel Quist and
Curtis Hash and
Nathan Brown Stochastic identification of malware
with dynamic traces . . . . . . . . . . 1--18
Alexander Volfovsky and
Peter D. Hoff Hierarchical array priors for ANOVA
decompositions of cross-classified data 19--47
Fan Yang and
Scott A. Lorch and
Dylan S. Small Estimation of causal effects using
instrumental variables with nonignorable
missing covariates: Application to
effect of type of delivery NICU on
premature infants . . . . . . . . . . . 48--73
Annamaria Guolo and
Cristiano Varin Beta regression for time series analysis
of bounded data, with application to
Canada Google$^\reg $ Flu Trends . . . . 74--88
Yogesh Virkar and
Aaron Clauset Power-law distributions in binned
empirical data . . . . . . . . . . . . . 89--119
Bailey K. Fosdick and
Peter D. Hoff Separable factor analysis with
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Alberto Cassese and
Michele Guindani and
Mahlet G. Tadesse and
Francesco Falciani and
Marina Vannucci A hierarchical Bayesian model for
inference of copy number variants and
their association to gene expression . . 148--175
Xiaoquan Wen and
Matthew Stephens Bayesian methods for genetic association
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From meta-analyses to gene--environment
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José R. Zubizarreta and
Ricardo D. Paredes and
Paul R. Rosenbaum Matching for balance, pairing for
heterogeneity in an observational study
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Darren Wraith and
Kerrie Mengersen and
Clair Alston and
Judith Rousseau and
Tareq Hussein Using informative priors in the
estimation of mixtures over time with
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Ting-Li Chen and
Dai-Ni Hsieh and
Hung Hung and
I-Ping Tu and
Pei-Shien Wu and
Yi-Ming Wu and
Wei-Hau Chang and
Su-Yun Huang $ \gamma $-SUP: a clustering algorithm
for cryo-electron microscopy images of
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Nicolle Clements and
Sanat K. Sarkar and
Zhigen Zhao and
Dong-Yun Kim Applying multiple testing procedures to
detect change in East African vegetation 286--308
David Rossell and
Camille Stephan-Otto Attolini and
Manuel Kroiss and
Almond Stöcker Quantifying alternative splicing from
paired-end RNA-sequencing data . . . . . 309--330
E. G. Hill and
E. H. Slate A semi-parametric Bayesian model of
inter- and intra-examiner agreement for
periodontal probing depth . . . . . . . 331--351
Yen-Tsung Huang and
Tyler J. VanderWeele and
Xihong Lin Joint analysis of SNP and gene
expression data in genetic association
studies of complex diseases . . . . . . 352--376
Yacine Jernite and
Pierre Latouche and
Charles Bouveyron and
Patrick Rivera and
Laurent Jegou and
Stéphane Lamassé The random subgraph model for the
analysis of an ecclesiastical network in
Merovingian Gaul . . . . . . . . . . . . 377--405
Matthew Reimherr and
Dan Nicolae A functional data analysis approach for
genetic association studies . . . . . . 406--429
Doyo G. Enki and
Angela Noufaily and
C. Paddy Farrington A time-varying shared frailty model with
application to infectious diseases . . . 430--447
Xin Wang and
Ke Yuan and
Christoph Hellmayr and
Wei Liu and
Florian Markowetz Reconstructing evolving signalling
networks by hidden Markov nested effects
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Ruth Heller and
Daniel Yekutieli Replicability analysis for genome-wide
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Jinzhu Jia and
Luke Miratrix and
Bin Yu and
Brian Gawalt and
Laurent El Ghaoui and
Luke Barnesmoore and
Sophie Clavier Concise comparative summaries (CCS) of
large text corpora with a human
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Jingyong Su and
Sebastian Kurtek and
Eric Klassen and
Anuj Srivastava Statistical analysis of trajectories on
Riemannian manifolds: Bird migration,
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Kung-Sik Chan and
Jinzheng Li and
William Eichinger and
Erwei Bai Testing for shielding of special nuclear
weapon materials . . . . . . . . . . . . 553--576
Fukang Zhu and
Zongwu Cai and
Liang Peng Predictive regressions for macroeconomic
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Hajo Holzmann and
Matthias Eulert The role of the information set for
forecasting --- with applications to
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Nicolas Raillard and
Pierre Ailliot and
Jianfeng Yao Modeling extreme values of processes
observed at irregular time steps:
Application to significant wave height 622--647
Won Chang and
Murali Haran and
Roman Olson and
Klaus Keller Fast dimension-reduced climate model
calibration and the effect of data
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Susanne Ditlevsen and
Adeline Samson Estimation in the partially observed
stochastic Morris--Lecar neuronal model
with particle filter and stochastic
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Mireille E. Schnitzer and
Mark J. van der Laan and
Erica E. M. Moodie and
Robert W. Platt Effect of breastfeeding on
gastrointestinal infection in infants: a
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Brian D. M. Tom and
Vernon T. Farewell and
Sheila M. Bird Maximum likelihood and pseudo score
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Damien McParland and
Isobel Claire Gormley and
Tyler H. McCormick and
Samuel J. Clark and
Chodziwadziwa Whiteson Kabudula and
Mark A. Collinson Clustering South African households
based on their asset status using latent
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Chi Song and
George C. Tseng Hypothesis setting and order statistic
for robust genomic meta-analysis . . . . 777--800
Daisy Phillips and
Debashis Ghosh Testing the disjunction hypothesis using
Voronoi diagrams with applications to
genetics . . . . . . . . . . . . . . . . 801--823
Zheyang Wu and
Yiming Sun and
Shiquan He and
Judy Cho and
Hongyu Zhao and
Jiashun Jin Detection boundary and Higher Criticism
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Isabel Molina and
Balgobin Nandram and
J. N. K. Rao Small area estimation of general
parameters with application to poverty
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Inna Chervoneva and
Boris Freydin and
Brian Hipszer and
Tatiyana V. Apanasovich and
Jeffrey I. Joseph Estimation of nonlinear differential
equation model for glucose-insulin
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Olga Vsevolozhskaya and
Mark Greenwood and
Dmitri Holodov Pairwise comparison of treatment levels
in functional analysis of variance with
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Gagan Sidhu and
Brian Caffo MONEYBaRL: Exploiting pitcher
decision-making using Reinforcement
Learning . . . . . . . . . . . . . . . . 926--955
Nicholas J. Horton and
Daniell Toth and
Polly Phipps Adjusting models of ordered multinomial
outcomes for nonignorable nonresponse in
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Joshua N. Sampson and
Bill Wheeler and
Peng Li and
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Yize Zhao and
Jian Kang and
Tianwei Yu A Bayesian nonparametric mixture model
for selecting genes and gene subnetworks 999--1021
Zhaonan Sun and
Thomas Kuczek and
Yu Zhu Statistical calibration of qRT-PCR,
microarray and RNA-Seq gene expression
data with measurement error models . . . 1022--1044
Xuejing Wang and
Bin Nan and
Ji Zhu and
Robert Koeppe Regularized $3$D functional regression
for brain image data via Haar wavelets 1045--1064
Finbarr O'Sullivan and
Mark Muzi and
David A. Mankoff and
Janet F. Eary and
Alexander M. Spence and
Kenneth A. Krohn Voxel-level mapping of tracer kinetics
in PET studies: a statistical approach
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Tian Ge and
Nicole Müller-Lenke and
Kerstin Bendfeldt and
Thomas E. Nichols and
Timothy D. Johnson Analysis of multiple sclerosis lesions
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Zhigang Yao and
William F. Eddy A statistical approach to the inverse
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François Caron and
Yee Whye Teh and
Thomas Brendan Murphy Bayesian nonparametric Plackett--Luce
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Jing Qin and
Tanya P. Garcia and
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Ming-Xin Tang and
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Yuanjia Wang Combining isotonic regression and EM
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Seongho Kim and
Ming Ouyang and
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Changyu Shen and
Xiang Zhang A new method of peak detection for
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Jung-Ying Tzeng and
Wenbin Lu and
Fang-Chi Hsu Gene-level pharmacogenetic analysis on
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Ville A. Satopää and
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Barbara A. Mellers and
Philip E. Tetlock and
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Emily B. Fox and
Michael C. Hughes and
Erik B. Sudderth and
Michael I. Jordan Joint modeling of multiple time series
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Sarat C. Dass and
Chae Young Lim and
Tapabrata Maiti A generalized mixed model framework for
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Daniel Cervone and
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Debdeep Pati and
Ross Berbeco and
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Morgan Kelly and
Cormac Ó Gráda Change points and temporal dependence in
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Arman Sabbaghi and
Tirthankar Dasgupta and
Qiang Huang and
Jizhe Zhang Inference for deformation and
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Abel Rodriguez and
David B. Dunson Functional clustering in nested designs:
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Veerabhadran Baladandayuthapani and
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Yuan Ji and
Kevin R. Coombes and
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Bani K. Mallick Bayesian sparse graphical models for
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Bahman Afsari and
Ulisses M. Braga-Neto and
Donald Geman Rank discriminants for predicting
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Sixia Chen and
Jae-Kwang Kim Two-phase sampling experiment for
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A. Paula Palacios and
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Emiliano J. Quinto and
Michael P. Wiper Bayesian modeling of bacterial growth
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Nikolay Bliznyuk and
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Joel Schwartz and
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Jie Peng and
Debashis Paul and
Hans-Georg Müller Time-warped growth processes, with
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Tauhid Zaman and
Emily B. Fox and
Eric T. Bradlow A Bayesian approach for predicting the
popularity of tweets . . . . . . . . . . 1583--1611
Sebastian Meyer and
Leonhard Held Power-law models for infectious disease
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James V. Zidek and
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Carolyn G. Taylor Reducing estimation bias in adaptively
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Raymond K. W. Wong and
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Justin Bleich and
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Xinxin Zhu and
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Marc G. Genton Incorporating geostrophic wind
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Jian Kang and
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Timothy D. Johnson A Bayesian hierarchical spatial point
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Takao Kumazawa and
Yosihiko Ogata Nonstationary ETAS models for
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James D. Wilson and
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Jim Korkola and
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Sach Mukherjee Joint estimation of multiple related
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Susan M. Paddock Editorial: Spatial accessibility of
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Mallory Nobles and
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Julie Swann Spatial accessibility of pediatric
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Laura A. Hatfield Discussion of ``Spatial accessibility of
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Lance A. Waller Discussion of ``Spatial accessibility of
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Mallory Nobles and
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Luis Barboza and
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Colin B. Fogarty and
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Abel Rodriguez and
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George C. Tseng Imputation of truncated $p$-values for
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Matthias Steinrücken and
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Daniel Manrique-Vallier Longitudinal Mixed Membership trajectory
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Luc Bijnens A permutational-splitting sample
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Guoxing Soon and
Aiyi Liu The use of covariates and random effects
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Cecilia A. Cotton and
Patrick J. Heagerty Evaluating epoetin dosing strategies
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Anne M. Presanis and
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Brian D. M. Tom and
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Hayley Durnall and
Douglas Fleming and
Daniela De Angelis Synthesising evidence to estimate
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Andrea Mercatanti and
Fan Li Do debit cards increase household
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Casey Olives and
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J. Sietsma and
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Georg M. Goerg Usage of the Lambert $W$ function in
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Jacob Bien and
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Robert Tibshirani Convex hierarchical testing of
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Timothy Hanson and
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Jiajia Zhang Modeling county level breast cancer
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Jabed H. Tomal and
William J. Welch and
Ruben H. Zamar Ensembling classification models based
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Alexander Franks and
Andrew Miller and
Luke Bornn and
Kirk Goldsberry Characterizing the spatial structure of
defensive skill in professional
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Cynthia Rudin and
Tyler H. McCormick Reactive point processes: a new approach
to predicting power failures in
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Ephraim M. Hanks and
Mevin B. Hooten and
Mat W. Alldredge Continuous-time discrete-space models
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Yaonan Zhang and
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Bruce D. Spencer Estimating network degree distributions
under sampling: an inverse problem, with
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Paul Fearnhead and
Shoukai Yu and
Patrick Biggs and
Barbara Holland and
Nigel French Estimating the relative rate of
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Zhishi Wang and
Qiuling He and
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Michael A. Newton A multi-functional analyzer uses
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Kay H. Brodersen and
Fabian Gallusser and
Jim Koehler and
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Steven L. Scott Inferring causal impact using Bayesian
structural time-series models . . . . . 247--274
Kara A. Fulton and
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Keni Jiang and
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Dominique Guillot and
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Julien Emile-Geay Statistical paleoclimate reconstructions
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Sai Xiao and
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Cecile Low-Kam and
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Lorenzo Trippa and
Levi Waldron and
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Giovanni Parmigiani Bayesian nonparametric cross-study
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Hongwei Shang and
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Martin L. Hazelton Network tomography for integer-valued
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Simon E. F. Spencer and
Steven M. Hill and
Sach Mukherjee Inferring network structure from
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Cinzia Carota and
Maurizio Filippone and
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Silvia Polettini Bayesian nonparametric disclosure risk
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Niamh Cahill and
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Benjamin P. Horton and
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Forrest W. Crawford and
Robert E. Weiss and
Marc A. Suchard Sex, lies and self-reported counts:
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Juhee Lee and
Peter Müller and
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Jiahan Li and
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Rongling Wu Bayesian group Lasso for nonparametric
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Heejung Shim and
Matthew Stephens Wavelet-based genetic association
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Fan Li and
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Quanli Wang and
Marlen Z. Gonzalez and
Erin L. Maresh and
James A. Coan Spatial Bayesian variable selection and
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Xiangdong Gu and
Yunsheng Ma and
Raji Balasubramanian Semiparametric time to event models in
the presence of error-prone,
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Jonathan S. Schildcrout and
Paul J. Rathouz and
Leila R. Zelnick and
Shawn P. Garbett and
Patrick J. Heagerty Biased sampling designs to improve
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Giles Hooker and
Stephen P. Ellner Goodness of fit in nonlinear dynamics:
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Laura Anderlucci and
Cinzia Viroli Covariance pattern mixture models for
the analysis of multivariate
heterogeneous longitudinal data . . . . 777--800
Stefan Wager and
Alexander Blocker and
Niall Cardin Weakly supervised clustering: Learning
fine-grained signals from coarse labels 801--820
Jian Guo and
Jie Cheng and
Elizaveta Levina and
George Michailidis and
Ji Zhu Estimating heterogeneous graphical
models for discrete data with an
application to roll call voting . . . . 821--848
John C. Jackson and
Paul S. Albert and
Zhiwei Zhang A two-state mixed hidden Markov model
for risky teenage driving behavior . . . 849--865
Francis K. C. Hui and
David I. Warton and
Scott D. Foster Multi-species distribution modeling
using penalized mixture of regressions 866--882
Yicheng Kang and
Xiaodong Gong and
Jiti Gao and
Peihua Qiu Jump detection in generalized
error-in-variables regression with an
application to Australian health tax
policies . . . . . . . . . . . . . . . . 883--900
Shiqi Cui and
Subharup Guha and
Marco A. R. Ferreira and
Allison N. Tegge hmmSeq: a hidden Markov model for
detecting differentially expressed genes
from RNA-seq data . . . . . . . . . . . 901--925
Vasileios Maroulas and
Andreas Nebenführ Tracking rapid intracellular movements:
a Bayesian random set approach . . . . . 926--949
Jie Hu and
Zhongying Zhao and
Hari Krishna Yalamanchili and
Junwen Wang and
Kenny Ye and
Xiaodan Fan Bayesian detection of embryonic gene
expression onset in \em C. elegans . . . 950--968
Gabriela B. Cybis and
Janet S. Sinsheimer and
Trevor Bedford and
Alison E. Mather and
Philippe Lemey and
Marc A. Suchard Assessing phenotypic correlation through
the multivariate phylogenetic latent
liability model . . . . . . . . . . . . 969--991
Makram Talih Examining socioeconomic health
disparities using a rank-dependent Rényi
index . . . . . . . . . . . . . . . . . 992--1023
Nadja Klein and
Thomas Kneib and
Stefan Lang and
Alexander Sohn Bayesian structured additive
distributional regression with an
application to regional income
inequality in Germany . . . . . . . . . 1024--1052
Sandra Safo and
Xiao Song and
Kevin K. Dobbin Sample size determination for training
cancer classifiers from microarray and
RNA-seq data . . . . . . . . . . . . . . 1053--1075
Philip T. Reiss and
Lan Huo and
Yihong Zhao and
Clare Kelly and
R. Todd Ogden Wavelet-domain regression and predictive
inference in psychiatric neuroimaging 1076--1101
Ma\lgorzata Bogdan and
Ewout van den Berg and
Chiara Sabatti and
Weijie Su and
Emmanuel J. Cand\`es SLOPE-Adaptive variable selection via
convex optimization . . . . . . . . . . 1103--1140
Robert B. Gramacy and
Derek Bingham and
James Paul Holloway and
Michael J. Grosskopf and
Carolyn C. Kuranz and
Erica Rutter and
Matt Trantham and
R. Paul Drake Calibrating a large computer experiment
simulating radiative shock hydrodynamics 1141--1168
Peter D. Hoff Multilinear tensor regression for
longitudinal relational data . . . . . . 1169--1193
Lasse Holmström and
Liisa Ilvonen and
Heikki Seppä and
Siim Veski A Bayesian spatiotemporal model for
reconstructing climate from multiple
pollen records . . . . . . . . . . . . . 1194--1225
Luke B. Smith and
Montserrat Fuentes and
Penny Gordon-Larsen and
Brian J. Reich Quantile regression for mixed models
with an application to examine blood
pressure trends in China . . . . . . . . 1226--1246
Rachael Maltiel and
Adrian E. Raftery and
Tyler H. McCormick and
Aaron J. Baraff Estimating population size using the
network scale up method . . . . . . . . 1247--1277
Sergiusz Wesolowski and
Robert J. Contreras and
Wei Wu A new framework for Euclidean summary
statistics in the neural spike train
space . . . . . . . . . . . . . . . . . 1278--1297
Fabian E. Bachl and
Alex Lenkoski and
Thordis L. Thorarinsdottir and
Christoph S. Garbe Bayesian motion estimation for dust
aerosols . . . . . . . . . . . . . . . . 1298--1327
Michael Scheuerer and
David Möller Probabilistic wind speed forecasting on
a grid based on ensemble model output
statistics . . . . . . . . . . . . . . . 1328--1349
Benjamin Letham and
Cynthia Rudin and
Tyler H. McCormick and
David Madigan Interpretable classifiers using rules
and Bayesian analysis: Building a better
stroke prediction model . . . . . . . . 1350--1371
Alexandra M. Schmidt and
Marco A. Rodríguez and
Estelina S. Capistrano Population counts along elliptical
habitat contours: Hierarchical modeling
using Poisson-lognormal mixtures with
nonstationary spatial structure . . . . 1372--1393
Matt Taddy Distributed multinomial regression . . . 1394--1414
Jukka Ranta and
Roland Lindqvist and
Ingrid Hansson and
Pirkko Tuominen and
Maarten Nauta A Bayesian approach to the evaluation of
risk-based microbiological criteria for
Campylobacter in broiler meat . . . . . 1415--1432
Estela Bee Dagum and
Silvia Bianconcini A new set of asymmetric filters for
tracking the short-term trend in
real-time . . . . . . . . . . . . . . . 1433--1458
P. Richard Hahn and
Indranil Goswami and
Carl F. Mela A Bayesian hierarchical model for
inferring player strategy types in a
number guessing game . . . . . . . . . . 1459--1483
J. R. Lockwood and
Terrance D. Savitsky and
Daniel F. McCaffrey Inferring constructs of effective
teaching from classroom observations: an
application of Bayesian exploratory
factor analysis without restrictions . . 1484--1509
D. E. Fishkind and
V. Lyzinski and
H. Pao and
L. Chen and
C. E. Priebe Vertex nomination schemes for membership
prediction . . . . . . . . . . . . . . . 1510--1532
Irina Ostrovnaya and
Venkatraman E. Seshan and
Colin B. Begg Using somatic mutation data to test
tumors for clonal relatedness . . . . . 1533--1548
Thomas A. Murray and
Brian P. Hobbs and
Bradley P. Carlin Combining nonexchangeable functional or
survival data sources in oncology using
generalized mixture commensurate priors 1549--1570
Li Liu and
Jing Lei and
Kathryn Roeder Network assisted analysis to reveal the
genetic basis of autism . . . . . . . . 1571--1600
Zhao-Hua Lu and
Sy-Miin Chow and
Andrew Sherwood and
Hongtu Zhu Bayesian analysis of ambulatory blood
pressure dynamics with application to
irregularly spaced sparse data . . . . . 1601--1620
Jun Ye and
Yehua Li and
Yongtao Guan Joint modeling of longitudinal drug
using pattern and time to first relapse
in cocaine dependence treatment data . . 1621--1642
Thierry Chekouo and
Alejandro Murua and
Wolfgang Raffelsberger The Gibbs-plaid biclustering model . . . 1643--1670
Mikael Kuusela and
Victor M. Panaretos Statistical unfolding of elementary
particle spectra: Empirical Bayes
estimation and bias-corrected
uncertainty quantification . . . . . . . 1671--1705
David Rossell and
Camille Stephan-Otto Attolini and
Manuel Kroiss and
Almond Stöcker Corrigendum: Quantifying alternative
splicing from paired-end RNA-seq data 1706--1707
Scott Powers and
Trevor Hastie and
Robert Tibshirani Customized training with an application
to mass spectrometric imaging of cancer
tissue . . . . . . . . . . . . . . . . . 1709--1725
Charles Bouveyron and
Etienne Côme and
Julien Jacques The discriminative functional mixture
model for a comparative analysis of bike
sharing systems . . . . . . . . . . . . 1726--1760
Jonathan R. Bradley and
Scott H. Holan and
Christopher K. Wikle Multivariate spatio-temporal models for
high-dimensional areal data with
application to Longitudinal
Employer--Household Dynamics . . . . . . 1761--1791
Giacomo Zanella Random partition models and
complementary clustering of Anglo-Saxon
place-names . . . . . . . . . . . . . . 1792--1822
Ramin Moghaddass and
Cynthia Rudin The latent state hazard model, with
application to wind turbine reliability 1823--1863
Nicholas Polson and
Vadim Sokolov Bayesian analysis of traffic flow on
interstate I-55: The LWR model . . . . . 1864--1888
Laina D. Mercer and
Jon Wakefield and
Athena Pantazis and
Angelina M. Lutambi and
Honorati Masanja and
Samuel Clark Space-time smoothing of complex survey
data: Small area estimation for child
mortality . . . . . . . . . . . . . . . 1889--1905
Fan Li and
Alessandra Mattei and
Fabrizia Mealli Evaluating the causal effect of
university grants on student dropout:
Evidence from a regression discontinuity
design using principal stratification 1906--1931
T. R. Fanshawe and
C. M. Chapman and
T. Crick Lymphangiogenesis and carcinoma in the
uterine cervix: Joint and hierarchical
models for random cluster sizes and
continuous outcomes . . . . . . . . . . 1932--1949
Shawn Mankad and
George Michailidis Analysis of multiview legislative
networks with structured matrix
factorization: Does Twitter influence
translate to the real world? . . . . . . 1950--1972
Lyron J. Winderbaum and
Inge Koch and
Ove J. R. Gustafsson and
Stephan Meding and
Peter Hoffmann Feature extraction for proteomics
imaging mass spectrometry data . . . . . 1973--1996
Leila Wehbe and
Aaditya Ramdas and
Rebecca C. Steorts and
Cosma Rohilla Shalizi Regularized brain reading with shrinkage
and smoothing . . . . . . . . . . . . . 1997--2022
Peiman Asadi and
Anthony C. Davison and
Sebastian Engelke Extremes on river networks . . . . . . . 2023--2050
Milan Stehlík and
Philipp Hermann Letter to the Editor . . . . . . . . . . 2051
Shengtong Han and
Hongmei Zhang and
Gabrielle A. Lockett and
Nandini Mukherjee and
John W. Holloway and
Wilfried Karmaus Identifying heterogeneous
transgenerational DNA methylation sites
via clustering in beta regression . . . 2052--2072
Renato Guseo and
Cinzia Mortarino Modeling competition between two
pharmaceutical drugs using innovation
diffusion models . . . . . . . . . . . . 2073--2089
Jie Xiong and
D. P. Dittmer and
J. S. Marron ``Virus hunting'' using radial distance
weighted discrimination . . . . . . . . 2090--2109
Ying Sun and
Michael L. Stein A stochastic space-time model for
intermittent precipitation occurrences 2110--2132
Lynne Steuerle Schofield Correcting for measurement error in
latent variables used as predictors . . 2133--2152
Eunjee Lee and
Hongtu Zhu and
Dehan Kong and
Yalin Wang and
Kelly Sullivan Giovanello and
Joseph G. Ibrahim and
for the Alzheimer's Disease Neuroimaging Initiative BFLCRM: a Bayesian functional linear Cox
regression model for predicting time to
conversion to Alzheimer's disease . . . 2153--2178
Eugen Pircalabelu and
Gerda Claeskens and
Sara Jahfari and
Lourens J. Waldorp A focused information criterion for
graphical models in fMRI connectivity
with high-dimensional data . . . . . . . 2179--2214
Daniel Scharfstein and
Andrea Rotnitzky and
Maria Abraham and
Aidan McDermott and
Richard Chaisson and
Lawrence Geiter On the analysis of tuberculosis studies
with intermittent missing sputum data 2215--2236
Rebecca Andridge and
Katherine Jenny Thompson Assessing nonresponse bias in a business
survey: Proxy pattern--mixture analysis
for skewed data . . . . . . . . . . . . 2237--2265
Ronny Luss and
Saharon Rosset and
Moni Shahar Correction: Efficient regularized
isotonic regression with application to
gene-gene interaction search . . . . . . 2266--2267
Linda S. L. Tan and
Aik Hui Chan and
Tian Zheng Topic-adjusted visibility metric for
scientific articles . . . . . . . . . . 1--31
Ailin Fan and
Wenbin Lu and
Rui Song Sequential advantage selection for
optimal treatment regime . . . . . . . . 32--53
Dmitry Kobak and
Sergey Shpilkin and
Maxim S. Pshenichnikov Integer percentages as electoral
falsification fingerprints . . . . . . . 54--73
Benjamin A. Shaby and
Brian J. Reich and
Daniel Cooley and
Cari G. Kaufman A Markov-switching model for heat waves 74--93
Yannick Vandendijck and
Christel Faes and
Niel Hens Prevalence and trend estimation from
observational data with highly variable
post-stratification weights . . . . . . 94--117
Yajuan Si and
Jerome P. Reiter and
D. Sunshine Hillygus Bayesian latent pattern mixture models
for handling attrition in panel studies
with refreshment samples . . . . . . . . 118--143
Ke Deng and
Yang Li and
Weiping Zhu and
Jun S. Liu Fast parameter estimation in loss
tomography for networks of general
topology . . . . . . . . . . . . . . . . 144--164
James P. Long and
Eric C. Chi and
Richard G. Baraniuk Estimating a common period for a set of
irregularly sampled functions with
applications to periodic variable star
data . . . . . . . . . . . . . . . . . . 165--197
Paul Bendich and
J. S. Marron and
Ezra Miller and
Alex Pieloch and
Sean Skwerer Persistent homology analysis of brain
artery trees . . . . . . . . . . . . . . 198--218
Ching-Fan Sheu and
Émeline Perthame and
Yuh-shiow Lee and
David Causeur Accounting for time dependence in
large-scale multiple testing of
event-related potential data . . . . . . 219--245
Simon J. Bonner and
Matthew R. Schofield and
Patrik Noren and
Steven J. Price Extending the latent multinomial model
with complex error processes and dynamic
Markov bases . . . . . . . . . . . . . . 246--263
Ruth King and
Brett T. McClintock and
Darren Kidney and
David Borchers Capture-recapture abundance estimation
using a semi-complete data likelihood
approach . . . . . . . . . . . . . . . . 264--285
Le Wang and
Pamela A. Shaw and
Hansie M. Mathelier and
Stephen E. Kimmel and
Benjamin French Evaluating risk-prediction models using
data from electronic health records . . 286--304
Daniel McCarthy and
Shane T. Jensen Power-weighted densities for time series
data . . . . . . . . . . . . . . . . . . 305--334
Hyunseung Kang and
Benno Kreuels and
Jürgen May and
Dylan S. Small Full matching approach to instrumental
variables estimation with application to
the effect of malaria on stunting . . . 335--364
Sharad Goel and
Justin M. Rao and
Ravi Shroff Precinct or prejudice? Understanding
racial disparities in New York City's
stop-and-frisk policy . . . . . . . . . 365--394
Colin J. Worby and
Philip D. O'Neill and
Theodore Kypraios and
Julie V. Robotham and
Daniela De Angelis and
Edward J. P. Cartwright and
Sharon J. Peacock and
Ben S. Cooper Reconstructing transmission trees for
communicable diseases using densely
sampled genetic data . . . . . . . . . . 395--417
Ying Liu and
Yuanjia Wang and
Yang Feng and
Melanie M. Wall Variable selection and prediction with
incomplete high-dimensional data . . . . 418--450
Marissa Isidro and
Stephen Haslett and
Geoff Jones Extended Structure Preserving Estimation
(ESPREE) for updating small area
estimates of poverty . . . . . . . . . . 451--476
Andrew Poppick and
David J. McInerney and
Elisabeth J. Moyer and
Michael L. Stein Temperatures in transient climates:
Improved methods for simulations with
evolving temporal covariances . . . . . 477--505
Mengjie Chen and
Haifan Lin and
Hongyu Zhao Change point analysis of histone
modifications reveals epigenetic blocks
linking to physical domains . . . . . . 506--526
Brandon George, Jr. and
Thomas Denney and
Himanshu Gupta and
Louis Dell'Italia and
Inmaculada Aban Applying a spatiotemporal model for
longitudinal cardiac imaging data . . . 527--548
Anna-Kaisa Ylitalo and
Aila Särkkä and
Peter Guttorp What we look at in paintings: a
comparison between experienced and
inexperienced art viewers . . . . . . . 549--574
Amanda A. Koepke and
Ira M. Longini, Jr. and
M. Elizabeth Halloran and
Jon Wakefield and
Vladimir N. Minin Predictive modeling of cholera outbreaks
in Bangladesh . . . . . . . . . . . . . 575--595
Wanghuan Chu and
Runze Li and
Matthew Reimherr Feature screening for time-varying
coefficient models with
ultrahigh-dimensional longitudinal data 596--617
Kwang Woo Ahn and
Brent R. Logan Pseudo-value approach for conditional
quantile residual lifetime analysis for
clustered survival and competing risks
data with applications to bone marrow
transplant data . . . . . . . . . . . . 618--637
Linlin Zhang and
Michele Guindani and
Francesco Versace and
Jeffrey M. Engelmann and
Marina Vannucci A spatiotemporal nonparametric Bayesian
model of multi-subject fMRI data . . . . 638--666
Drausin F. Wulsin and
Shane T. Jensen and
Brian Litt Nonparametric multi-level clustering of
human epilepsy seizures . . . . . . . . 667--689
Sean Ruddy and
Marla Johnson and
Elizabeth Purdom Shrinkage of dispersion parameters in
the binomial family, with application to
differential exon skipping . . . . . . . 690--725
Nancy R. Zhang and
Benjamin Yakir and
Li C. Xia and
David Siegmund Scan statistics on Poisson random fields
with applications in genomics . . . . . 726--755
Xiao Liu and
Kyongmin Yeo and
Youngdeok Hwang and
Jitendra Singh and
Jayant Kalagnanam A statistical modeling approach for air
quality data based on physical
dispersion processes and its application
to ozone modeling . . . . . . . . . . . 756--785
Laurent Briollais and
Adrian Dobra and
Jinnan Liu and
Matt Friedlander and
Hilmi Ozcelik and
Hél\`ene Massam A Bayesian graphical model for
genome-wide association studies (GWAS) 786--811
Paolo Zanini and
Haipeng Shen and
Young Truong Understanding resident mobility in Milan
through independent component analysis
of Telecom Italia mobile usage data . . 812--833
Peng Shi and
Xiaoping Feng and
Jean-Philippe Boucher Multilevel modeling of insurance claims
using copulas . . . . . . . . . . . . . 834--863
Philip J. Brown and
Martin S. Ridout Level-screening designs for factors with
many levels . . . . . . . . . . . . . . 864--883
Ick Hoon Jin and
Ying Yuan and
Dipankar Bandyopadhyay A Bayesian hierarchical spatial model
for dental caries assessment using
non-Gaussian Markov random fields . . . 884--905
Stijn Jaspers and
Philippe Lambert and
Marc Aerts A Bayesian approach to the
semiparametric estimation of a minimum
inhibitory concentration distribution 906--924
Maria Bolsinova and
Gunter Maris and
Herbert Hoijtink Unmixing Rasch scales: How to score an
educational test . . . . . . . . . . . . 925--945
Belinda Phipson and
Stanley Lee and
Ian J. Majewski and
Warren S. Alexander and
Gordon K. Smyth Robust hyperparameter estimation
protects against hypervariable genes and
improves power to detect differential
expression . . . . . . . . . . . . . . . 946--963
Carlo Gaetan and
Paolo Girardi and
Roberto Pastres and
Antoine Mangin Clustering Chlorophyll-a satellite data
using quantiles . . . . . . . . . . . . 964--988
Hui Jiang and
Patrick W. Saart and
Yingcun Xia Asymmetric conditional correlations in
stock returns . . . . . . . . . . . . . 989--1018
Pixu Shi and
Anru Zhang and
Hongzhe Li Regression analysis for microbiome
compositional data . . . . . . . . . . . 1019--1040
Ephraim M. Hanks and
Mevin B. Hooten and
Steven T. Knick and
Sara J. Oyler-McCance and
Jennifer A. Fike and
Todd B. Cross and
Michael K. Schwartz Latent spatial models and sampling
design for landscape genetics . . . . . 1041--1062
Seunghwan Park and
Jae Kwang Kim and
Sangun Park An imputation approach for handling
mixed-mode surveys . . . . . . . . . . . 1063--1085
Luke Keele and
Jason W. Morgan How strong is strong enough?
Strengthening instruments through
matching and weak instrument tests . . . 1086--1106
Raymond K. W. Wong and
Vinay L. Kashyap and
Thomas C. M. Lee and
David A. van Dyk Detecting abrupt changes in the spectra
of high-energy astrophysical sources . . 1107--1134
Nadja Klein and
Thomas Kneib and
Stefan Lang and
Alexander Sohn Correction: Bayesian structured additive
distributional regression with an
application to regional income
inequality in Germany . . . . . . . . . 1135--1136
Anonymous Editorial Board . . . . . . . . . . . . ??
Anonymous Table of Contents . . . . . . . . . . . ??
Raymond K. W. Wong and
Thomas C. M. Lee and
Debashis Paul and
Jie Peng and
Alzheimer's Disease Neuroimaging Initiative Fiber direction estimation, smoothing
and tracking in diffusion MRI . . . . . 1137--1156
Armin Schwartzman Discussion of ``Fiber direction
estimation in diffusion MRI'' . . . . . 1157--1159
Nicole A. Lazar Discussion of ``Fiber direction
estimation in diffusion MRI'' . . . . . 1160--1161
Jian Kang and
Lexin Li Discussion of ``Fiber direction
estimation in diffusion MRI'' . . . . . 1162--1165
Raymond K. W. Wong and
Thomas C. M. Lee and
Debashis Paul and
Jie Peng Rejoinder: ``Fiber direction estimation,
smoothing and tracking in diffusion
MRI'' . . . . . . . . . . . . . . . . . 1166--1169
Bruno Arpino and
Alessandra Mattei Assessing the causal effects of
financial aids to firms in Tuscany
allowing for interference . . . . . . . 1170--1194
Han Wu and
Yu Zhu Deconvolution of base pair level RNA-Seq
read counts for quantification of
transcript expression levels . . . . . . 1195--1216
Ian Johnston and
Timothy Hancock and
Hiroshi Mamitsuka and
Luis Carvalho Gene-proximity models for genome-wide
association studies . . . . . . . . . . 1217--1244
Avi Feller and
Todd Grindal and
Luke Miratrix and
Lindsay C. Page Compared to what? Variation in the
impacts of early childhood education by
alternative care type . . . . . . . . . 1245--1285
Abhirup Datta and
Sudipto Banerjee and
Andrew O. Finley and
Nicholas A. S. Hamm and
Martijn Schaap Nonseparable dynamic nearest neighbor
Gaussian process models for large
spatio-temporal data with an application
to particulate matter analysis . . . . . 1286--1316
Mengyang Gu and
James O. Berger Parallel partial Gaussian process
emulation for computer models with
massive output . . . . . . . . . . . . . 1317--1347
Chandler Zuo and
Kailei Chen and
Kyle J. Hewitt and
Emery H. Bresnick and
Sündüz Keles A hierarchical framework for state-space
matrix inference and clustering . . . . 1348--1372
Thomas E. Bartlett and
Alexey Zaikin Detection of epigenomic network
community oncomarkers . . . . . . . . . 1373--1396
Fang Han and
Xiaoyan Han and
Han Liu and
Brian Caffo Sparse median graphs estimation in a
high-dimensional semiparametric model 1397--1426
Duncan Lee and
Andrew Lawson Quantifying the spatial inequality and
temporal trends in maternal smoking
rates in Glasgow . . . . . . . . . . . . 1427--1446
Paul R. Rosenbaum Using Scheffé projections for multiple
outcomes in an observational study of
smoking and periodontal disease . . . . 1447--1471
Vanda Inácio de Carvalho and
Miguel de Carvalho and
Todd A. Alonzo and
Wenceslao González-Manteiga Functional covariate-adjusted partial
area under the specificity-ROC curve
with an application to metabolic
syndrome diagnosis . . . . . . . . . . . 1472--1495
Julyan Arbel and
Kerrie Mengersen and
Judith Rousseau Bayesian nonparametric dependent model
for partially replicated data: The
influence of fuel spills on species
diversity . . . . . . . . . . . . . . . 1496--1516
Yang Liu and
James V. Zidek and
Andrew W. Trites and
Brian C. Battaile Bayesian data fusion approaches to
predicting spatial tracks: Application
to marine mammals . . . . . . . . . . . 1517--1546
Thierry Chekouo and
Francesco C. Stingo and
Michele Guindani and
Kim-Anh Do A Bayesian predictive model for imaging
genetics with application to
schizophrenia . . . . . . . . . . . . . 1547--1571
Eleni Matechou and
Rachel S. McCrea and
Byron J. T. Morgan and
Darryn J. Nash and
Richard A. Griffiths Open models for removal data . . . . . . 1572--1589
Daniel W. Gladish and
Petra M. Kuhnert and
Daniel E. Pagendam and
Christopher K. Wikle and
Rebecca Bartley and
Ross D. Searle and
Robin J. Ellis and
Cameron Dougall and
Ryan D. R. Turner and
Stephen E. Lewis and
Zoë T. Bainbridge and
Jon E. Brodie Spatio-temporal assimilation of modelled
catchment loads with monitoring data in
the Great Barrier Reef . . . . . . . . . 1590--1618
Xiaoquan Wen Molecular QTL discovery incorporating
genomic annotations using Bayesian false
discovery rate control . . . . . . . . . 1619--1638
Han Lin Shang Mortality and life expectancy
forecasting for a group of populations
in developed countries: a multilevel
functional data method . . . . . . . . . 1639--1672
Brook T. Russell and
Daniel S. Cooley and
William C. Porter and
Brian J. Reich and
Colette L. Heald Data mining to investigate the
meteorological drivers for extreme
ground level ozone events . . . . . . . 1673--1698
Jie Liu and
Chunming Zhang and
David Page Multiple testing under dependence via
graphical models . . . . . . . . . . . . 1699--1724
Eric Warren Fox and
Frederic Paik Schoenberg and
Joshua Seth Gordon Spatially inhomogeneous background rate
estimators and uncertainty
quantification for nonparametric Hawkes
point process models of earthquake
occurrences . . . . . . . . . . . . . . 1725--1756
Kaushik Jana and
Debasis Sengupta and
Kalyan Rudra Correction of bifurcated river flow
measurements from historical data:
Paving the way for the Teesta water
sharing treaty . . . . . . . . . . . . . 1757--1775
Anonymous Editorial Board . . . . . . . . . . . . ??
Anonymous Table of Contents . . . . . . . . . . . ??
Bernard W. Silverman Introduction to discussion of
``Coauthorship and citation networks for
statisticians'' . . . . . . . . . . . . 1777--1778
Pengsheng Ji and
Jiashun Jin Coauthorship and citation networks for
statisticians . . . . . . . . . . . . . 1779--1812
Pedro Regueiro and
Abel Rodríguez and
Juan Sosa Discussion of ``Coauthorship and
citation networks for statisticians'' 1813--1819
Song Wang and
Karl Rohe Discussion of ``Coauthorship and
citation networks for statisticians'' 1820--1826
Vishesh Karwa and
Sonja Petrovi\'c Discussion of ``Coauthorship and
citation networks for statisticians'' 1827--1834
Mladen Kolar and
Matt Taddy Discussion of ``Coauthorship and
citation networks for statisticians'' 1835--1841
Forrest W. Crawford Discussion of ``Coauthorship and
citation networks for statisticians'' 1842--1845
Pengsheng Ji and
Jiashun Jin Rejoinder: ``Coauthorship and citation
networks for statisticians'' . . . . . . 1846--1853
Eardi Lila and
John A. D. Aston and
Laura M. Sangalli Smooth Principal Component Analysis over
two-dimensional manifolds with an
application to neuroimaging . . . . . . 1854--1879
Kun Chen and
Eric A. Hoffman and
Indu Seetharaman and
Feiran Jiao and
Ching-Long Lin and
Kung-Sik Chan Linking lung airway structure to
pulmonary function via composite bridge
regression . . . . . . . . . . . . . . . 1880--1906
Bailey K. Fosdick and
Maria DeYoreo and
Jerome P. Reiter Categorical data fusion using auxiliary
information . . . . . . . . . . . . . . 1907--1929
Ran Shi and
Ying Guo Investigating differences in brain
functional networks using hierarchical
covariate-adjusted independent component
analysis . . . . . . . . . . . . . . . . 1930--1957
Zach Branson and
Tirthankar Dasgupta and
Donald B. Rubin Improving covariate balance in $ 2^K $
factorial designs via rerandomization
with an application to a New York City
Department of Education High School
Study . . . . . . . . . . . . . . . . . 1958--1976
Zhengyi Zhou and
David S. Matteson Predicting Melbourne ambulance demand
using kernel warping . . . . . . . . . . 1977--1996
Cinar Kilcioglu and
José R. Zubizarreta Maximizing the information content of a
balanced matched sample in a study of
the economic performance of green
buildings . . . . . . . . . . . . . . . 1997--2020
Ryan Admiraal and
Mark S. Handcock Modeling concurrency and selective
mixing in heterosexual partnership
networks with applications to sexually
transmitted diseases . . . . . . . . . . 2021--2046
Yongliang Zhai and
Alexandre Bouchard-Côté Inferring rooted population trees using
asymmetric neighbor joining . . . . . . 2047--2074
Hugo C. Winter and
Jonathan A. Tawn and
Simon J. Brown Modelling the effect of the El
Niño--Southern Oscillation on extreme
spatial temperature events over
Australia . . . . . . . . . . . . . . . 2075--2101
Chi Song and
Xiaoyi Min and
Heping Zhang The screening and ranking algorithm for
change-points detection in multiple
samples . . . . . . . . . . . . . . . . 2102--2129
Tanya P. Garcia and
Samuel Müller Cox regression with exclusion
frequency-based weights to identify
neuroimaging markers relevant to
Huntington's disease onset . . . . . . . 2130--2156
Terrance D. Savitsky Bayesian nonparametric multiresolution
estimation for the American Community
Survey . . . . . . . . . . . . . . . . . 2157--2181
Henry R. Scharf and
Mevin B. Hooten and
Bailey K. Fosdick and
Devin S. Johnson and
Josh M. London and
John W. Durban Dynamic social networks based on
movement . . . . . . . . . . . . . . . . 2182--2202
Daniele Durante and
David B. Dunson Locally adaptive dynamic networks . . . 2203--2232
John H. Spivack and
Bin Cheng Estimating odds ratios under a
case-background design with an
application to a study of Sorafenib
accessibility . . . . . . . . . . . . . 2233--2253
Naim U. Rashid and
Wei Sun and
Joseph G. Ibrahim A statistical model to assess
(allele-specific) associations between
gene expression and epigenetic features
using sequencing data . . . . . . . . . 2254--2273
Won Chang and
Murali Haran and
Patrick Applegate and
David Pollard Improving ice sheet model calibration
using paleoclimate and modern data . . . 2274--2302
Emeric Thibaud and
Juha Aalto and
Daniel S. Cooley and
Anthony C. Davison and
Juha Heikkinen Bayesian inference for the
Brown--Resnick process, with an
application to extreme low temperatures 2303--2324
Gina-Maria Pomann and
Ana-Maria Staicu and
Edgar J. Lobaton and
Amanda F. Mejia and
Blake E. Dewey and
Daniel S. Reich and
Elizabeth M. Sweeney and
Russell T. Shinohara A lag functional linear model for
prediction of magnetization transfer
ratio in multiple sclerosis lesions . . 2325--2348
Ruitao Lin and
Guosheng Yin Bootstrap aggregating continual
reassessment method for dose finding in
drug-combination trials . . . . . . . . 2349--2376
Francesco Marass and
Florent Mouliere and
Ke Yuan and
Nitzan Rosenfeld and
Florian Markowetz A phylogenetic latent feature model for
clonal deconvolution . . . . . . . . . . 2377--2404
Leonardo Grilli and
Fulvia Pennoni and
Carla Rampichini and
Isabella Romeo Exploiting TIMSS and PIRLS combined
data: Multivariate multilevel modelling
of student achievement . . . . . . . . . 2405--2426
Anonymous Editorial Board . . . . . . . . . . . . ??
Anonymous Table of Contents . . . . . . . . . . . ??
Xinyao Ji and
Gunther Fink and
Paul Jacob Robyn and
Dylan S. Small Randomization inference for
stepped-wedge cluster-randomized trials:
an application to community-based health
insurance . . . . . . . . . . . . . . . 1--20
Eleni Matechou and
François Caron Modelling individual migration patterns
using a Bayesian nonparametric approach
for capture-recapture data . . . . . . . 21--40
Gwenaël G. R. Leday and
Mathisca C. M. de Gunst and
Gino B. Kpogbezan and
Aad W. van der Vaart and
Wessel N. van Wieringen and
Mark A. van de Wiel Gene network reconstruction using
global-local shrinkage priors . . . . . 41--68
Rachel M. Messick and
Matthew J. Heaton and
Neil Hansen Multivariate spatial mapping of soil
water holding capacity with spatially
varying cross-correlations . . . . . . . 69--92
Joshua P. Keller and
Mathias Drton and
Timothy Larson and
Joel D. Kaufman and
Dale P. Sandler and
Adam A. Szpiro Covariate-adaptive clustering of
exposures for air pollution epidemiology
cohorts . . . . . . . . . . . . . . . . 93--113
Lin S. Chen and
Jiebiao Wang and
Xianlong Wang and
Pei Wang A mixed-effects model for incomplete
data from labeling-based quantitative
proteomics experiments . . . . . . . . . 114--138
Guilherme Ludwig and
Tingjin Chu and
Jun Zhu and
Haonan Wang and
Kirsten Koehler Static and roving sensor data fusion for
spatio-temporal hazard mapping with
application to occupational exposure
assessment . . . . . . . . . . . . . . . 139--160
Yuping Zhang and
Zhengqing Ouyang and
Hongyu Zhao A statistical framework for data
integration through graphical models
with application to cancer genomics . . 161--184
Chenkun Wang and
Hai Liu and
Sujuan Gao A penalized Cox proportional hazards
model with multiple time-varying
exposures . . . . . . . . . . . . . . . 185--201
Dave Osthus and
Kyle S. Hickmann and
Petruta C. Caragea and
Dave Higdon and
Sara Y. Del Valle Forecasting seasonal influenza with a
state-space SIR model . . . . . . . . . 202--224
Trang Quynh Nguyen and
Cyrus Ebnesajjad and
Stephen R. Cole and
Elizabeth A. Stuart Sensitivity analysis for an unobserved
moderator in RCT-to-target-population
generalization of treatment effects . . 225--247
Debbie J. Dupuis Electricity price dependence in New York
State zones: a robust detrended
correlation approach . . . . . . . . . . 248--273
Xiao Song and
Li Wang Partially time-varying coefficient
proportional hazards models with
error-prone time-dependent covariates
--- an application to the AIDS Clinical
Trial Group 175 data . . . . . . . . . . 274--296
Heidi J. Fischer and
Qunfang Zhang and
Yifang Zhu and
Robert E. Weiss Functional time series models for
ultrafine particle distributions . . . . 297--319
Jan van de Kassteele and
Jan van Eijkeren and
Jacco Wallinga Efficient estimation of age-specific
social contact rates between men and
women . . . . . . . . . . . . . . . . . 320--339
Erin M. Schliep and
Alan E. Gelfand and
James S. Clark and
Bradley J. Tomasek Biomass prediction using a
density-dependent diameter distribution
model . . . . . . . . . . . . . . . . . 340--361
Stacy L. DeRuiter and
Roland Langrock and
Tomas Skirbutas and
Jeremy A. Goldbogen and
John Calambokidis and
Ari S. Friedlaender and
Brandon L. Southall A multivariate mixed hidden Markov model
for blue whale behaviour and responses
to sound exposure . . . . . . . . . . . 362--392
Tracy Holsclaw and
Arthur M. Greene and
Andrew W. Robertson and
Padhraic Smyth Bayesian nonhomogeneous Markov models
via Pólya--Gamma data augmentation with
applications to rainfall modeling . . . 393--426
Pavel N. Krivitsky and
Martina Morris Inference for social network models from
egocentrically sampled data, with
application to understanding persistent
racial disparities in HIV prevalence in
the US . . . . . . . . . . . . . . . . . 427--455
Chelsea L. Lofland and
Abel Rodríguez and
Scott Moser Assessing differences in legislators'
revealed preferences: a case study on
the 107th U.S. Senate . . . . . . . . . 456--479
Shinichiro Shirota and
Alan E. Gelfand Space and circular time log Gaussian Cox
processes with application to crime
event data . . . . . . . . . . . . . . . 481--503
Sergio Venturini and
Jessica M. Franklin and
Laura Morlock and
Francesca Dominici Random effects models for identifying
the most harmful medication errors in a
large, voluntary reporting database . . 504--526
Abel Rodríguez and
Ziwei Wang and
Athanasios Kottas Assessing systematic risk in the S&P500
index between 2000 and 2011: a Bayesian
nonparametric approach . . . . . . . . . 527--552
Lu Xin and
Mu Zhu and
Hugh Chipman A continuous-time stochastic block model
for basketball networks . . . . . . . . 553--597
Kamiar Rahnama Rad and
Timothy A. Machado and
Liam Paninski Robust and scalable Bayesian analysis of
spatial neural tuning function data . . 598--637
Yingye Zheng and
Marshall Brown and
Anna Lok and
Tianxi Cai Improving efficiency in biomarker
incremental value evaluation under
two-phase designs . . . . . . . . . . . 638--654
Madeleine Cule and
Peter Donnelly Stochastic modelling and inference in
electronic hospital databases for the
spread of infections:
\bionameClostridium difficile
transmission in Oxfordshire hospitals
2007--2010 . . . . . . . . . . . . . . . 655--679
Yves Thibaudeau and
Eric Slud and
Alfred Gottschalck Modeling log-linear conditional
probabilities for estimation in surveys 680--697
Cedric E. Ginestet and
Jun Li and
Prakash Balachandran and
Steven Rosenberg and
Eric D. Kolaczyk Hypothesis testing for network data in
functional neuroimaging . . . . . . . . 725--750
David R. Hunter and
Le Bao and
Mary Poss Assignment of endogenous retrovirus
integration sites using a mixture model 751--770
Tao Wang and
Hongyu Zhao Structured subcomposition selection in
regression and its application to
microbiome data analysis . . . . . . . . 771--791
You Ren and
Emily B. Fox and
Andrew Bruce Clustering correlated, sparse data
streams to estimate a localized housing
price index . . . . . . . . . . . . . . 808--839
Sarah Friedrich and
Jan Beyersmann and
Ursula Winterfeld and
Martin Schumacher and
Arthur Allignol Nonparametric estimation of pregnancy
outcome probabilities . . . . . . . . . 840--867
Tingting Zhang and
Qiannan Yin and
Brian Caffo and
Yinge Sun and
Dana Boatman-Reich Bayesian inference of high-dimensional,
cluster-structured ordinary differential
equation models with applications to
brain connectivity studies . . . . . . . 868--897
Oleksandr Gromenko and
Piotr Kokoszka and
Jan Sojka Evaluation of the cooling trend in the
ionosphere using functional regression
with incomplete curves . . . . . . . . . 898--918
Elizabeth L. Ogburn and
Tyler J. VanderWeele Vaccines, contagion, and social networks 919--948
Patrick Schnell and
Qi Tang and
Peter Müller and
Bradley P. Carlin Subgroup inference for multiple
treatments and multiple endpoints in an
Alzheimer's disease treatment trial . . 949--966
Yichen Cheng and
James Y. Dai and
Thomas G. Paulson and
Xiaoyu Wang and
Xiaohong Li and
Brian J. Reid and
Charles Kooperberg Quantification of multiple tumor clones
using gene array and sequencing data . . 967--991
Shuyi Liu and
Wei Wu Generalized Mahalanobis depth in point
process and its application in neural
coding . . . . . . . . . . . . . . . . . 992--1010
Silvia Cagnone and
Simone Giannerini and
Lucia Modugno Multilevel models with stochastic
volatility for repeated cross-sections:
an application to tribal art prices . . 1040--1062
Noorie Hyun and
Li C. Cheung and
Qing Pan and
Mark Schiffman and
Hormuzd A. Katki Flexible risk prediction models for left
or interval-censored data from
electronic health records . . . . . . . 1063--1084
Tanya P. Garcia and
Yanyuan Ma and
Karen Marder and
Yuanjia Wang Robust mixed effects model for clustered
failure time data: Application to
Huntington's disease event measures . . 1085--1116
Jiti Gao and
Bin Peng and
Zhao Ren and
Xiaohui Zhang Variable selection for a categorical
varying-coefficient model with
identifications for determinants of body
mass index . . . . . . . . . . . . . . . 1117--1145
Luke J. Kelly and
Geoff K. Nicholls Lateral transfer in Stochastic Dollo
models . . . . . . . . . . . . . . . . . 1146--1168
Hao Chen and
Yuchao Jiang and
Kara N. Maxwell and
Katherine L. Nathanson and
Nancy Zhang Allele-specific copy number estimation
by whole exome sequencing . . . . . . . 1169--1192
Camelia Simoiu and
Sam Corbett-Davies and
Sharad Goel The problem of infra-marginality in
outcome tests for discrimination . . . . 1193--1216
Michael Salter-Townshend and
Tyler H. McCormick Latent space models for multiview
network data . . . . . . . . . . . . . . 1217--1244
Leontine Alkema and
Sanqian Zhang and
Doris Chou and
Alison Gemmill and
Ann-Beth Moller and
Doris Ma Fat and
Lale Say and
Colin Mathers and
Daniel Hogan A Bayesian approach to the global
estimation of maternal mortality . . . . 1245--1274
Lo-Bin Chang and
Eran Borenstein and
Wei Zhang and
Stuart Geman Maximum likelihood features for
generative image models . . . . . . . . 1275--1308
Hyungsuk Tak and
Kaisey Mandel and
David A. van Dyk and
Vinay L. Kashyap and
Xiao-Li Meng and
Aneta Siemiginowska Bayesian estimates of astronomical time
delays between gravitationally lensed
stochastic light curves . . . . . . . . 1309--1348
Xu Shi and
Hristina Pashova and
Patrick J. Heagerty Comparing healthcare utilization
patterns via global differences in the
endorsement of current procedural
terminology codes . . . . . . . . . . . 1349--1374
Marcelo Hartmann and
Geoffrey R. Hosack and
Richard M. Hillary and
Jarno Vanhatalo Gaussian process framework for temporal
dependence and discrepancy functions in
Ricker-type population growth models . . 1375--1402
Romain Chailan and
Gwladys Toulemonde and
Jean-Noel Bacro A semiparametric method to simulate
bivariate space-time extremes . . . . . 1403--1428
Tso-Jung Yen and
Zong-Rong Lee and
Yi-Hau Chen and
Yu-Min Yen and
Jing-Shiang Hwang Estimating links of a network from time
to event data . . . . . . . . . . . . . 1429--1451
Y. Samuel Wang and
Ross L. Matsueda and
Elena A. Erosheva A variational EM method for mixed
membership models with multivariate rank
data: an analysis of public policy
preferences . . . . . . . . . . . . . . 1452--1480
Binghui Liu and
Chong Wu and
Xiaotong Shen and
Wei Pan A novel and efficient algorithm for de
novo discovery of mutated driver
pathways in cancer . . . . . . . . . . . 1481--1512
Bei Jiang and
Eva Petkova and
Thaddeus Tarpey and
R. Todd Ogden Latent class modeling using matrix
covariates with application to
identifying early placebo responders
based on EEG signals . . . . . . . . . . 1513--1536
Aurélien Nicosia and
Thierry Duchesne and
Louis-Paul Rivest and
Daniel Fortin A multi-state conditional logistic
regression model for the analysis of
animal movement . . . . . . . . . . . . 1537--1560
Xiang Zhu and
Matthew Stephens Bayesian large-scale multiple regression
with summary statistics from genome-wide
association studies . . . . . . . . . . 1561--1592
Antonello Maruotti and
Jan Bulla and
Francesco Lagona and
Marco Picone and
Francesca Martella Dynamic mixtures of factor analyzers to
characterize multivariate air pollutant
exposures . . . . . . . . . . . . . . . 1617--1648
Fangrong Yan and
Xiao Lin and
Xuelin Huang Dynamic prediction of disease
progression for leukemia patients by
functional principal component analysis
of longitudinal expression levels of an
oncogene . . . . . . . . . . . . . . . . 1649--1670
Mikael Kuusela and
Philip B. Stark Shape-constrained uncertainty
quantification in unfolding steeply
falling elementary particle spectra . . 1671--1710
Jan-Otto Hooghoudt and
Margarida Barroso and
Rasmus Waagepetersen Toward Bayesian inference of the spatial
distribution of proteins from three-cube
Förster resonance energy transfer data 1711--1737
Xiaoying Tang and
Michael I. Miller and
Laurent Younes Biomarker change-point estimation with
right censoring in longitudinal studies 1738--1762
Runchao Jiang and
Wenbin Lu and
Rui Song and
Michael G. Hudgens and
Sonia Naprvavnik Doubly robust estimation of optimal
treatment regimes for survival data-with
application to an HIV/AIDS study . . . . 1763--1786
Jue Wang and
Sheng Luo and
Liang Li Dynamic prediction for multiple repeated
measures and event time data: an
application to Parkinson's disease . . . 1787--1809
Lingxue Zhu and
Jing Lei and
Bernie Devlin and
Kathryn Roeder Testing high-dimensional covariance
matrices, with application to detecting
schizophrenia risk genes . . . . . . . . 1810--1831
Natalia Nolde and
Johanna F. Ziegel Elicitability and backtesting:
Perspectives for banking regulation . . 1833--1874
Hajo Holzmann and
Bernhard Klar Discussion of ``Elicitability and
backtesting: Perspectives for banking
regulation'' . . . . . . . . . . . . . . 1875--1882
Patrick Schmidt Discussion of ``Elicitability and
backtesting: Perspectives for banking
regulation'' . . . . . . . . . . . . . . 1883--1885
Mark H. A. Davis Discussion of ``Elicitability and
backtesting: Perspectives for banking
regulation'' . . . . . . . . . . . . . . 1886--1887
Chen Zhou Discussion on ``Elicitability and
backtesting: Perspectives for banking
regulation'' . . . . . . . . . . . . . . 1888--1893
Marie Kratz Discussion of ``Elicitability and
backtesting: Perspectives for banking
regulation'' . . . . . . . . . . . . . . 1894--1900
Natalia Nolde and
Johanna F. Ziegel Rejoinder: ``Elicitability and
backtesting: Perspectives for banking
regulation'' . . . . . . . . . . . . . . 1901--1911
Peter M. Aronow and
Cyrus Samii Estimating average causal effects under
general interference, with application
to a social network experiment . . . . . 1912--1947
Nynke M. D. Niezink and
Tom A. B. Snijders Co-evolution of social networks and
continuous actor attributes . . . . . . 1948--1973
William Chad Young and
Adrian E. Raftery and
Ka Yee Yeung Model-based clustering with data
correction for removing artifacts in
gene expression data . . . . . . . . . . 1998--2026
Xiang Zhou A unified framework for variance
component estimation with summary
statistics in genome-wide association
studies . . . . . . . . . . . . . . . . 2027--2051
Yuanyuan Duan and
Yili Hong and
William Q. Meeker and
Deborah L. Stanley and
Xiaohong Gu Photodegradation modeling based on
laboratory accelerated test data and
predictions under outdoor weathering for
polymeric materials . . . . . . . . . . 2052--2079
Michael Fop and
Keith M. Smart and
Thomas Brendan Murphy Variable selection for latent class
analysis with application to low back
pain diagnosis . . . . . . . . . . . . . 2080--2110
Isabelle S. Beaudry and
Krista J. Gile and
Shruti H. Mehta Inference for respondent-driven sampling
with misclassification . . . . . . . . . 2111--2141
Ricardo Pio Monti and
Christoforos Anagnostopoulos and
Giovanni Montana Learning population and subject-specific
brain connectivity networks via mixed
neighborhood selection . . . . . . . . . 2142--2164
Harrison Quick and
Lance A. Waller and
Michele Casper Multivariate spatiotemporal modeling of
age-specific stroke mortality . . . . . 2165--2177
E. Cantoni and
J. Mills Flemming and
A. H. Welsh A random-effects hurdle model for
predicting bycatch of endangered marine
species . . . . . . . . . . . . . . . . 2178--2199
Zhou Fan and
Lester Mackey Empirical Bayesian analysis of
simultaneous changepoints in multiple
data sequences . . . . . . . . . . . . . 2200--2221
Linda S. L. Tan and
Ajay Jasra and
Maria De Iorio and
Timothy M. D. Ebbels Bayesian inference for multiple Gaussian
graphical models with application to
metabolic association networks . . . . . 2222--2251
Rong W. Zablocki and
Richard A. Levine and
Andrew J. Schork and
Shujing Xu and
Yunpeng Wang and
Chun C. Fan and
Wesley K. Thompson Semiparametric covariate-modulated local
false discovery rate for genome-wide
association studies . . . . . . . . . . 2252--2269
Yuan Yuan and
Fabian E. Bachl and
Finn Lindgren and
David L. Borchers and
Janine B. Illian and
Stephen T. Buckland and
Håvard Rue and
Tim Gerrodette Point process models for spatio-temporal
distance sampling data from a
large-scale survey of blue whales . . . 2270--2297
Deepayan Chakrabarti Modeling node incentives in directed
networks . . . . . . . . . . . . . . . . 2298--2331
Eric Hare and
Heike Hofmann and
Alicia Carriquiry Automatic matching of bullet land
impressions . . . . . . . . . . . . . . 2332--2356
Colin S. Gillespie Estimating the number of casualties in
the American Indian War: a Bayesian
analysis using the power law
distribution . . . . . . . . . . . . . . 2357--2374
Ross Towe and
Emma Eastoe and
Jonathan Tawn and
Philip Jonathan Statistical downscaling for future
extreme wave heights in the North Sea 2375--2403
Hajo Holzmann and
Bernhard Klar Focusing on regions of interest in
forecast evaluation . . . . . . . . . . 2404--2431
Yunfan Tang and
Li Ma and
Dan L. Nicolae A phylogenetic scan test on a
Dirichlet-tree multinomial model for
microbiome data . . . . . . . . . . . . 1--26
Leah R. Johnson and
Robert B. Gramacy and
Jeremy Cohen and
Erin Mordecai and
Courtney Murdock and
Jason Rohr and
Sadie J. Ryan and
Anna M. Stewart-Ibarra and
Daniel Weikel Phenomenological forecasting of disease
incidence using heteroskedastic Gaussian
processes: a dengue case study . . . . . 27--66
Ben C. Augustine and
J. Andrew Royle and
Marcella J. Kelly and
Christopher B. Satter and
Robert S. Alonso and
Erin E. Boydston and
Kevin R. Crooks Spatial capture--recapture with partial
identity: An application to camera traps 67--95
Paul B. Conn and
Ray T. Alisauskas Simultaneous modelling of movement,
measurement error, and observer
dependence in mark-recapture distance
sampling: an application to Arctic bird
surveys . . . . . . . . . . . . . . . . 96--122
David N. Reshef and
Yakir A. Reshef and
Pardis C. Sabeti and
Michael Mitzenmacher An empirical study of the maximal and
total information coefficients and
leading measures of dependence . . . . . 123--155
Christian Fong and
Chad Hazlett and
Kosuke Imai Covariate balancing propensity score for
a continuous treatment: Application to
the efficacy of political advertisements 156--177
Christopher Pardy and
Sally Galbraith and
Susan R. Wilson Integrative exploration of large
high-dimensional datasets . . . . . . . 178--199
Hong Zhang and
Nilanjan Chatterjee and
Daniel Rader and
Jinbo Chen Adjustment of nonconfounding covariates
in case-control genetic association
studies . . . . . . . . . . . . . . . . 200--221
Brianna C. Heggeseth and
Nicholas P. Jewell How Gaussian mixture models might miss
detecting factors that impact growth
patterns . . . . . . . . . . . . . . . . 222--245
Christian Rohrbeck and
Emma F. Eastoe and
Arnoldo Frigessi and
Jonathan A. Tawn Extreme value modelling of water-related
insurance claims . . . . . . . . . . . . 246--282
Daniela Castro-Camilo and
Miguel de Carvalho and
Jennifer Wadsworth Time-varying extreme value dependence
with application to leading European
stock markets . . . . . . . . . . . . . 283--309
Brian Bader and
Jun Yan and
Xuebin Zhang Automated threshold selection for
extreme value analysis via ordered
goodness-of-fit tests with adjustment
for false discovery rate . . . . . . . . 310--329
Natalie E. Dean and
M. Elizabeth Halloran and
Ira M. Longini Design of vaccine trials during
outbreaks with and without a delayed
vaccination comparator . . . . . . . . . 330--347
Xin Li and
Alex Belianinov and
Ondrej Dyck and
Stephen Jesse and
Chiwoo Park Two-level structural sparsity
regularization for identifying lattices
and defects in noisy images . . . . . . 348--377
Xiao Liu and
Vikneswaran Gopal and
Jayant Kalagnanam A spatio-temporal modeling framework for
weather radar image data in tropical
Southeast Asia . . . . . . . . . . . . . 378--407
James Livsey and
Robert Lund and
Stefanos Kechagias and
Vladas Pipiras Multivariate integer-valued time series
with flexible autocovariances and their
application to major hurricane counts 408--431
Julie Bessac and
Emil Constantinescu and
Mihai Anitescu Stochastic simulation of predictive
space-time scenarios of wind speed using
observations and physical model outputs 432--458
Minjie Fan and
Debashis Paul and
Thomas C. M. Lee and
Tomoko Matsuo A multi-resolution model for
non-Gaussian random fields on a sphere
with application to ionospheric
electrostatic potentials . . . . . . . . 459--489
Jaehong Jeong and
Stefano Castruccio and
Paola Crippa and
Marc G. Genton Reducing storage of global wind
ensembles with stochastic generators . . 490--509
Wei Vivian Li and
Anqi Zhao and
Shihua Zhang and
Jingyi Jessica Li MSIQ: Joint modeling of multiple RNA-seq
samples for accurate isoform
quantification . . . . . . . . . . . . . 510--539
Timothy W. Randolph and
Sen Zhao and
Wade Copeland and
Meredith Hullar and
Ali Shojaie Kernel-penalized regression for analysis
of microbiome data . . . . . . . . . . . 540--566
Yaowu Liu and
Jun Xie Powerful test based on conditional
effects for genome-wide screening . . . 567--585
Kevin Caye and
Flora Jay and
Olivier Michel and
Olivier François Fast inference of individual admixture
coefficients using geographic data . . . 586--608
Lingxue Zhu and
Jing Lei and
Bernie Devlin and
Kathryn Roeder A unified statistical framework for
single cell and bulk RNA sequencing data 609--632
Nicholas J. Clark and
Philip M. Dixon Modeling and estimation for
self-exciting spatio-temporal models of
terrorist activity . . . . . . . . . . . 633--653
Katherine R. McLaughlin and
Joshua D. EmBree Empirical assessment of programs to
promote collaboration: a network model
approach . . . . . . . . . . . . . . . . 654--682
Donald B. Rubin On Stephen E. Fienberg as a discussant
and a friend . . . . . . . . . . . . . . 683--684
Xiao-Li Meng Statistical paradises and paradoxes in
big data (I): Law of large populations,
big data paradox, and the 2016 US
presidential election . . . . . . . . . 685--726
Sivaraman Balakrishnan and
Larry Wasserman Hypothesis testing for high-dimensional
multinomials: A selective review . . . . 727--749
D. A. S. Fraser and
N. Reid and
Wei Lin When should modes of inference disagree?
Some simple but challenging examples . . 750--770
Joseph B. Kadane Fingerprint science . . . . . . . . . . 771--787
Karen D. H. Pan and
Karen Kafadar Statistical modeling and analysis of
trace element concentrations in forensic
glass evidence . . . . . . . . . . . . . 788--814
Adrian Dobra and
Reza Mohammadi Loglinear model selection and human
mobility . . . . . . . . . . . . . . . . 815--845
Yen-Chi Chen and
Y. Samuel Wang and
Elena A. Erosheva On the use of bootstrap with variational
inference: Theory, interpretation, and a
two-sample test example . . . . . . . . 846--876
Joshua Snoke and
Timothy R. Brick and
Aleksandra Slavkovi\'c and
Michael D. Hunter Providing accurate models across private
partitioned data: Secure maximum
likelihood estimation . . . . . . . . . 877--914
Yuchen Zheng and
Nicoleta Serban Clustering the prevalence of pediatric
chronic conditions in the United States
using distributed computing . . . . . . 915--939
Jonathan J. Azose and
Adrian E. Raftery Estimating large correlation matrices
for international migration . . . . . . 940--970
Claire Donnat and
Susan Holmes Tracking network dynamics: a survey
using graph distances . . . . . . . . . 971--1012
Mauricio Sadinle Bayesian propagation of record linkage
uncertainty into population size
estimation of human rights violations 1013--1038
Beidi Chen and
Anshumali Shrivastava and
Rebecca C. Steorts Unique entity estimation with
application to the Syrian conflict . . . 1039--1067
Giuseppe Vinci and
Valérie Ventura and
Matthew A. Smith and
Robert E. Kass Adjusted regularization in latent
graphical models: Application to
multiple-neuron spike count data . . . . 1068--1095
Yilin Zhang and
Marie Poux-Berthe and
Chris Wells and
Karolina Koc-Michalska and
Karl Rohe Discovering political topics in Facebook
discussion threads with graph
contextualization . . . . . . . . . . . 1096--1123
Andrés F. Barrientos and
Alexander Bolton and
Tom Balmat and
Jerome P. Reiter and
John M. de Figueiredo and
Ashwin Machanavajjhala and
Yan Chen and
Charley Kneifel and
Mark DeLong Providing access to confidential
research data through synthesis and
verification: an application to data on
employees of the U.S. federal government 1124--1156
Stephen E. Fienberg and
Judith M. Tanur The interlocking world of surveys and
experiments . . . . . . . . . . . . . . 1157--1179
Kelly Bodwin and
Kai Zhang and
Andrew Nobel A testing based approach to the
discovery of differentially correlated
variable sets . . . . . . . . . . . . . 1180--1203
Zheyu Wang and
Xiao-Hua Zhou Biomarker assessment and combination
with differential covariate effects and
an unknown gold standard, with an
application to Alzheimer's disease . . . 1204--1227
Zhe Zhu and
Roy E. Welsch Robust dependence modeling for
high-dimensional covariance matrices
with financial applications . . . . . . 1228--1249
Mengyun Wu and
Liping Zhu and
Xingdong Feng Network-based feature screening with
applications to genome data . . . . . . 1250--1270
Yei Eun Shin and
Yu Ding and
Jianhua Z. Huang Covariate matching methods for testing
and quantifying wind turbine upgrades 1271--1292
Kshitij Sharma and
Valérie Chavez-Demoulin and
Pierre Dillenbourg Nonstationary modelling of tail
dependence of two subjects'
concentration . . . . . . . . . . . . . 1293--1311
James C. Russell and
Ephraim M. Hanks and
Murali Haran and
David Hughes A spatially varying stochastic
differential equation model for animal
movement . . . . . . . . . . . . . . . . 1312--1331
Benjamin Eltzner and
Stephan Huckemann and
Kanti V. Mardia Torus principal component analysis with
applications to RNA structure . . . . . 1332--1359
Anonymous Special section in memory of Stephen E.
Fienberg (1942--2016) AOAS
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Alexander M. Franks and
Florian Markowetz and
Edoardo M. Airoldi Refining cellular pathway models using
an ensemble of heterogeneous data
sources . . . . . . . . . . . . . . . . 1361--1384
Adam Duncan and
Eric Klassen and
Anuj Srivastava Statistical shape analysis of simplified
neuronal trees . . . . . . . . . . . . . 1385--1421
Michelle F. Miranda and
Hongtu Zhu and
Joseph G. Ibrahim TPRM: Tensor partition regression models
with applications in imaging biomarker
detection . . . . . . . . . . . . . . . 1422--1450
Daniel W. Adrian and
Ranjan Maitra and
Daniel B. Rowe Complex-valued time series modeling for
improved activation detection in fMRI
studies . . . . . . . . . . . . . . . . 1451--1478
Samuel D. Pimentel and
Lindsay C. Page and
Matthew Lenard and
Luke Keele Optimal multilevel matching using
network flows: An application to a
summer reading intervention . . . . . . 1479--1505
Yuan Wang and
Hernando Ombao and
Moo K. Chung Topological data analysis of
single-trial electroencephalographic
signals . . . . . . . . . . . . . . . . 1506--1534
Yen-Tsung Huang Joint significance tests for mediation
effects of socioeconomic adversity on
adiposity via epigenetics . . . . . . . 1535--1557
Xiaowei Wu and
Ting Guan and
Dajiang J. Liu and
Luis G. León Novelo and
Dipankar Bandyopadhyay Adaptive-weight burden test for
associations between quantitative traits
and genotype data with complex
correlations . . . . . . . . . . . . . . 1558--1582
Sebastian Weber and
Andrew Gelman and
Daniel Lee and
Michael Betancourt and
Aki Vehtari and
Amy Racine-Poon Bayesian aggregation of average data: an
application in drug development . . . . 1583--1604
Fangzheng Xie and
Mingyuan Zhou and
Yanxun Xu BayCount: a Bayesian decomposition
method for inferring tumor heterogeneity
using RNA-Seq counts . . . . . . . . . . 1605--1627
Samuel W. K. Wong and
Jun S. Liu and
S. C. Kou Exploring the conformational space for
protein folding with sequential Monte
Carlo . . . . . . . . . . . . . . . . . 1628--1654
Mar Rodríguez-Girondo and
Perttu Salo and
Tomasz Burzykowski and
Markus Perola and
Jeanine Houwing-Duistermaat and
Bart Mertens Sequential double cross-validation for
assessment of added predictive ability
in high-dimensional omic applications 1655--1678
Alessandro Chiarucci and
Rosa Maria Di Biase and
Lorenzo Fattorini and
Marzia Marcheselli and
Caterina Pisani Joining the incompatible: Exploiting
purposive lists for the sample-based
estimation of species richness . . . . . 1679--1699
Gen Li and
Irina Gaynanova A general framework for association
analysis of heterogeneous data . . . . . 1700--1726
Ying Ding and
Ying Grace Li and
Yushi Liu and
Stephen J. Ruberg and
Jason C. Hsu Confident inference for SNP effects on
treatment efficacy . . . . . . . . . . . 1727--1748
Xiangyu Luo and
Yingying Wei Nonparametric Bayesian learning of
heterogeneous dynamic transcription
factor networks . . . . . . . . . . . . 1749--1772
Jane M. Lange and
Roman Gulati and
Amy S. Leonardson and
Daniel W. Lin and
Lisa F. Newcomb and
Bruce J. Trock and
H. Ballentine Carter and
Peter R. Carroll and
Matthew R. Cooperberg and
Janet E. Cowan and
Lawrence H. Klotz and
Ruth Etzioni Estimating and comparing cancer
progression risks under varying
surveillance protocols . . . . . . . . . 1773--1795
Sylvia Frühwirth-Schnatter and
Stefan Pittner and
Andrea Weber and
Rudolf Winter-Ebmer Analysing plant closure effects using
time-varying mixture-of-experts Markov
chain clustering . . . . . . . . . . . . 1796--1830
Zhichao Jiang and
Peng Ding Using missing types to improve partial
identification with application to a
study of HIV prevalence in Malawi . . . 1831--1852
Yicheng Cheng and
Murat Dundar and
George Mohler A coupled ETAS-I$^2$ GMM point process
with applications to seismic fault
detection . . . . . . . . . . . . . . . 1853--1870
Denis Agniel and
Wen Xie and
Myron Essex and
Tianxi Cai Functional principal variance component
testing for a genetic association study
of HIV progression . . . . . . . . . . . 1871--1893
Anders Ellern Bilgrau and
Rasmus Froberg Bròndum and
Poul Svante Eriksen and
Karen Dybkær and
Martin Bògsted Estimating a common covariance matrix
for network meta-analysis of gene
expression datasets in diffuse large
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Yebin Tao and
Lu Wang and
Daniel Almirall Tree-based reinforcement learning for
estimating optimal dynamic treatment
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Shirin Golchi and
Richard Lockhart A frequency-calibrated Bayesian search
for new particles . . . . . . . . . . . 1939--1968
Ray S. W. Chung and
Amanda M. Y. Chu and
Mike K. P. So Bayesian randomized response technique
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Lam Si Tung Ho and
Forrest W. Crawford and
Marc A. Suchard Direct likelihood-based inference for
discretely observed stochastic
compartmental models of infectious
disease . . . . . . . . . . . . . . . . 1993--2021
Serge Guillas and
Andria Sarri and
Simon J. Day and
Xiaoyu Liu and
Frederic Dias Functional emulation of high resolution
tsunami modelling over Cascadia . . . . 2023--2053
Antonio R. Linero and
Jonathan R. Bradley and
Apurva Desai Multi-rubric models for ordinal spatial
data with application to online ratings
data . . . . . . . . . . . . . . . . . . 2054--2074
Jonathon J. O'Brien and
Harsha P. Gunawardena and
Joao A. Paulo and
Xian Chen and
Joseph G. Ibrahim and
Steven P. Gygi and
Bahjat F. Qaqish The effects of nonignorable missing data
on label-free mass spectrometry
proteomics experiments . . . . . . . . . 2075--2095
Youngdeok Hwang and
Siyuan Lu and
Jae-Kwang Kim Bottom-up estimation and top-down
prediction: Solar energy prediction
combining information from multiple
sources . . . . . . . . . . . . . . . . 2096--2120
Peng Ding and
Luke Keele Rank tests in unmatched clustered
randomized trials applied to a study of
teacher training . . . . . . . . . . . . 2151--2174
Feng Chen and
Wai Hong Tan Marked self-exciting point process
modelling of information diffusion on
Twitter . . . . . . . . . . . . . . . . 2175--2196
Meng Li and
Armin Schwartzman Standardization of multivariate Gaussian
mixture models and background adjustment
of PET images in brain oncology . . . . 2197--2227
Marko Järvenpää and
Michael U. Gutmann and
Aki Vehtari and
Pekka Marttinen Gaussian process modelling in
approximate Bayesian computation to
estimate horizontal gene transfer in
bacteria . . . . . . . . . . . . . . . . 2228--2251
Maryclare Griffin and
Krista J. Gile and
Karen I. Fredricksen-Goldsen and
Mark S. Handcock and
Elena A. Erosheva A simulation-based framework for
assessing the feasibility of
respondent-driven sampling for
estimating characteristics in
populations of lesbian, gay and bisexual
older adults . . . . . . . . . . . . . . 2252--2278
Shawn Mankad and
Shengli Hu and
Anandasivam Gopal Single stage prediction with embedded
topic modeling of online reviews for
mobile app management . . . . . . . . . 2279--2311
Paul R. Rosenbaum Sensitivity analysis for stratified
comparisons in an observational study of
the effect of smoking on homocysteine
levels . . . . . . . . . . . . . . . . . 2312--2334
Baqun Zhang and
Min Zhang Variable selection for estimating the
optimal treatment regimes in the
presence of a large number of covariates 2335--2358
Heping Zhang and
Dungang Liu and
Jiwei Zhao and
Xuan Bi Modeling hybrid traits for comorbidity
and genetic studies of alcohol and
nicotine co-dependence . . . . . . . . . 2359--2378
Malte Nalenz and
Mattias Villani Tree ensembles with rule structured
horseshoe regularization . . . . . . . . 2379--2408
Arman Sabbaghi and
Qiang Huang Model transfer across additive
manufacturing processes via mean effect
equivalence of lurking variables . . . . 2409--2429
Ashley Petersen and
Noah Simon and
Daniela Witten SCALPEL: Extracting neurons from calcium
imaging data . . . . . . . . . . . . . . 2430--2456
Michael J. Lopez and
Gregory J. Matthews and
Benjamin S. Baumer How often does the best team win? A
unified approach to understanding
randomness in North American sport . . . 2483--2516
Eric Schmitt and
Christopher Tull and
Patrick Atwater Extending Bayesian structural
time-series estimates of causal impact
to many-household conservation
initiatives . . . . . . . . . . . . . . 2517--2539
Duncan Lee A locally adaptive process-convolution
model for estimating the health impact
of air pollution . . . . . . . . . . . . 2540--2558
Roberto Casarin and
Claudia Foroni and
Massimiliano Marcellino and
Francesco Ravazzolo Uncertainty through the lenses of a
mixed-frequency Bayesian panel
Markov-switching model . . . . . . . . . 2559--2586
Miao Yuan and
Cheng Yong Tang and
Yili Hong and
Jian Yang Disentangling and assessing
uncertainties in multiperiod corporate
default risk predictions . . . . . . . . 2587--2617
Ba Chu and
Kim Huynh and
David Jacho-Chávez and
Oleksiy Kryvtsov On the evolution of the United Kingdom
price distributions . . . . . . . . . . 2618--2646
Ashkan Ertefaie and
Anh Nguyen and
David J. Harding and
Jeffrey D. Morenoff and
Wei Yang Instrumental variable analysis with
censored data in the presence of many
weak instruments: Application to the
effect of being sentenced to prison on
time to employment . . . . . . . . . . . 2647--2673
Julien Chiquet and
Mahendra Mariadassou and
Stéphane Robin Variational inference for probabilistic
Poisson PCA . . . . . . . . . . . . . . 2674--2698
Amit Sharma and
Jake M. Hofman and
Duncan J. Watts Split-door criterion: Identification of
causal effects through auxiliary
outcomes . . . . . . . . . . . . . . . . 2699--2733
Eugene Katsevich and
Chiara Sabatti Multilayer knockoff filter: Controlled
variable selection at multiple
resolutions . . . . . . . . . . . . . . 1--33
Debbie J. Dupuis and
Luca Trapin Ground-level ozone: Evidence of
increasing serial dependence in the
extremes . . . . . . . . . . . . . . . . 34--59
Yen-Tsung Huang Genome-wide analyses of sparse mediation
effects under composite null hypotheses 60--84
Lu Wang and
Zhengwu Zhang and
David Dunson Common and individual structure of brain
networks . . . . . . . . . . . . . . . . 85--112
Lu Tian and
Yi Liu and
Andrew Z. Fire and
Scott D. Boyd and
Richard A. Olshen Clonality: Point estimation . . . . . . 113--131
Tianxi Li and
Elizaveta Levina and
Ji Zhu Prediction models for network-linked
data . . . . . . . . . . . . . . . . . . 132--164
Mark D. Risser and
Catherine A. Calder and
Veronica J. Berrocal and
Candace Berrett Nonstationary spatial prediction of soil
organic carbon: Implications for stock
assessment decision making . . . . . . . 165--188
James E. Johndrow and
Kristian Lum An algorithm for removing sensitive
information: Application to
race-independent recidivism prediction 189--220
Juhee Lee and
Peter F. Thall and
Steven H. Lin Bayesian semiparametric joint regression
analysis of recurrent adverse events and
survival in esophageal cancer patients 221--247
Micol Marchetti-Bowick and
Yaoliang Yu and
Wei Wu and
Eric P. Xing A penalized regression model for the
joint estimation of eQTL associations
and gene network structure . . . . . . . 248--270
Deborah Kunkel and
Kevin Potter and
Peter F. Craigmile and
Mario Peruggia and
Trisha Van Zandt A Bayesian race model for response times
under cyclic stimulus discriminability 271--296
Jonggyu Baek and
Bin Zhu and
Peter X. K. Song Bayesian analysis of infant's growth
dynamics with in utero exposure to
environmental toxicants . . . . . . . . 297--320
Xiaoyue Niu and
Peter D. Hoff Joint mean and covariance modeling of
multiple health outcome measures . . . . 321--339
Zhiguang Huo and
Chi Song and
George Tseng Bayesian latent hierarchical model for
transcriptomic meta-analysis to detect
biomarkers with clustered meta-patterns
of differential expression signals . . . 340--366
Fiona Steele and
Paul S. Clarke and
Jouni Kuha Modeling within-household associations
in household panel studies . . . . . . . 367--392
Alexander Petersen and
Sean Deoni and
Hans-Georg Müller Fréchet estimation of time-varying
covariance matrices from sparse data,
with application to the regional
co-evolution of myelination in the
developing brain . . . . . . . . . . . . 393--419
Adam C. Sales and
John F. Pane The role of mastery learning in an
intelligent tutoring system: Principal
stratification on a latent variable . . 420--443
Farhad Shokoohi and
Abbas Khalili and
Masoud Asgharian and
Shili Lin Capturing heterogeneity of covariate
effects in hidden subpopulations in the
presence of censoring and large number
of covariates . . . . . . . . . . . . . 444--465
Chenyang Gu and
Roee Gutman Development of a common patient
assessment scale across the continuum of
care: a nested multiple imputation
approach . . . . . . . . . . . . . . . . 466--491
Marta Crispino and
Elja Arjas and
Valeria Vitelli and
Natasha Barrett and
Arnoldo Frigessi A Bayesian Mallows approach to
nontransitive pair comparison data: How
human are sounds? . . . . . . . . . . . 492--519
Xiao Wu and
Danielle Braun and
Marianthi-Anna Kioumourtzoglou and
Christine Choirat and
Qian Di and
Francesca Dominici Causal inference in the context of an
error prone exposure: Air pollution and
mortality . . . . . . . . . . . . . . . 520--547
Moritz Berger and
Michael Wagner and
Matthias Schmid Modeling biomarker ratios with gamma
distributed components . . . . . . . . . 548--572
Chris Glynn and
Emily B. Fox Dynamics of homelessness in urban
America . . . . . . . . . . . . . . . . 573--605
Yang Li and
Shaoyang Ning and
Sarah E. Calvo and
Vamsi K. Mootha and
Jun S. Liu Bayesian hidden Markov tree models for
clustering genes with shared
evolutionary history . . . . . . . . . . 606--637
Michael B. Sohn and
Hongzhe Li Compositional mediation analysis for
microbiome studies . . . . . . . . . . . 661--681
Michael Bertolacci and
Edward Cripps and
Ori Rosen and
John W. Lau and
Sally Cripps Climate inference on daily rainfall
across the Australian continent,
1876-2015 . . . . . . . . . . . . . . . 683--712
Daniel Dinsdale and
Matias Salibian-Barrera Modelling ocean temperatures from
bio-probes under preferential sampling 713--745
Yen-Ning Huang and
Brian J. Reich and
Montserrat Fuentes and
A. Sankarasubramanian Complete spatial model calibration . . . 746--766
Colin B. Fogarty and
Raiden B. Hasegawa Extended sensitivity analysis for
heterogeneous unmeasured confounding
with an application to sibling studies
of returns to education . . . . . . . . 767--796
Gianluca Mastrantonio and
Giovanna Jona Lasinio and
Alessio Pollice and
Giulia Capotorti and
Lorenzo Teodonio and
Giulio Genova and
Carlo Blasi A hierarchical multivariate
spatio-temporal model for clustered
climate data with annual cycles . . . . 797--823
Jared D. Huling and
Menggang Yu and
Maureen Smith Fused comparative intervention scoring
for heterogeneity of longitudinal
intervention effects . . . . . . . . . . 824--847
Andrew McDavid and
Raphael Gottardo and
Noah Simon and
Mathias Drton Graphical models for zero-inflated
single cell gene expression . . . . . . 848--873
Tianjian Zhou and
Subhajit Sengupta and
Peter Müller and
Yuan Ji TreeClone: Reconstruction of tumor
subclone phylogeny based on mutation
pairs using next generation sequencing
data . . . . . . . . . . . . . . . . . . 874--899
Silvia D'Angelo and
Thomas Brendan Murphy and
Marco Alf\`o Latent space modelling of
multidimensional networks with
application to the exchange of votes in
Eurovision song contest . . . . . . . . 900--930
Adrian Dobra and
Camilo Valdes and
Dragana Ajdic and
Bertrand Clarke and
Jennifer Clarke Modeling association in microbial
communities with clique loglinear models 931--957
Lorin Crawford and
Seth R. Flaxman and
Daniel E. Runcie and
Mike West Variable prioritization in nonlinear
black box methods: a genetic association
case study . . . . . . . . . . . . . . . 958--989
Carolina Euán and
Ying Sun and
Hernando Ombao Coherence-based time series clustering
for statistical inference and
visualization of brain connectivity . . 990--1015
Seyoung Park and
Hongyu Zhao Sparse principal component analysis with
missing observations . . . . . . . . . . 1016--1042
Julia Fukuyama Adaptive gPCA: a method for structured
dimensionality reduction with
applications to microbiome data . . . . 1043--1067
Soyoung Park and
Alicia Carriquiry Learning algorithms to evaluate forensic
glass evidence . . . . . . . . . . . . . 1068--1102
Miaoyan Wang and
Jonathan Fischer and
Yun S. Song Three-way clustering of multi-tissue
multi-individual gene expression data
using semi-nonnegative tensor
decomposition . . . . . . . . . . . . . 1103--1127
Dominik Liebl Nonparametric testing for differences in
electricity prices: The case of the
Fukushima nuclear accident . . . . . . . 1128--1146
Kevin M. Donovan and
Michael G. Hudgens and
Peter B. Gilbert Nonparametric inference for immune
response thresholds of risk in vaccine
studies . . . . . . . . . . . . . . . . 1147--1165
Maria Francesca Marino and
Maria Giovanna Ranalli and
Nicola Salvati and
Marco Alf\`o Semiparametric empirical best prediction
for small area estimation of
unemployment indicators . . . . . . . . 1166--1197
Dankmar Böhning and
Peter G. M. van der Heijden The identity of the zero-truncated,
one-inflated likelihood and the
zero-one-truncated likelihood for
general count densities with an
application to drink-driving in Britain 1198--1211
Li Zeng and
Joshua L. Warren and
Hongyu Zhao Phylogeny-based tumor subclone
identification using a Bayesian feature
allocation model . . . . . . . . . . . . 1212--1241
Rachel C. Nethery and
Fabrizia Mealli and
Francesca Dominici Estimating population average causal
effects in the presence of non-overlap:
The effect of natural gas compressor
station exposure on cancer mortality . . 1242--1267
Jean Feng and
David A. Shaw and
Vladimir N. Minin and
Noah Simon and
Frederick A. Matsen IV Survival analysis of DNA mutation motifs
with penalized proportional hazards . . 1268--1294
Fei Gao and
Yuanjia Wang and
Donglin Zeng Early diagnosis of neurological disease
using peak degeneration ages of multiple
biomarkers . . . . . . . . . . . . . . . 1295--1318
Karen D. H. Pan and
Karen Kafadar Correction to: Statistical modeling and
analysis of trace element concentrations
in forensic glass evidence . . . . . . . 1319--1328
Tilman M. Davies and
Matthew R. Schofield and
Jon Cornwall and
Philip W. Sheard Modelling multilevel spatial behaviour
in binary-mark muscle fibre
configurations . . . . . . . . . . . . . 1329--1347
Lo-Hua Yuan and
Avi Feller and
Luke W. Miratrix Identifying and estimating principal
causal effects in a multi-site trial of
Early College High Schools . . . . . . . 1348--1369
Lin Liu and
Yuqi Qiu and
Loki Natarajan and
Karen Messer Imputation and post-selection inference
in models with missing data: an
application to colorectal cancer
surveillance guidelines . . . . . . . . 1370--1396
Lekha Patel and
Nils Gustafsson and
Yu Lin and
Raimund Ober and
Ricardo Henriques and
Edward Cohen A hidden Markov model approach to
characterizing the photo-switching
behavior of fluorophores . . . . . . . . 1397--1429
Jeng-Min Chiou and
Yu-Ting Chen and
Tailen Hsing Identifying multiple changes for a
functional data sequence with
application to freeway traffic
segmentation . . . . . . . . . . . . . . 1430--1463
Johann Gagnon-Bartsch and
Yotam Shem-Tov The classification permutation test: a
flexible approach to testing for
covariate imbalance in observational
studies . . . . . . . . . . . . . . . . 1464--1483
Ahmed Aziz Ezzat and
Mikyoung Jun and
Yu Ding Spatio-temporal short-term wind
forecast: a calibrated regime-switching
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Y. X. Rachel Wang and
Purnamrita Sarkar and
Oana Ursu and
Anshul Kundaje and
Peter J. Bickel Network modelling of topological domains
using Hi-C data . . . . . . . . . . . . 1511--1536
Yanjun Qian and
Jianhua Z. Huang and
Chiwoo Park and
Yu Ding Fast dynamic nonparametric distribution
tracking in electron microscopic data 1537--1563
Lisa Schlosser and
Torsten Hothorn and
Reto Stauffer and
Achim Zeileis Distributional regression forests for
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Ying Chen and
J. S. Marron and
Jiejie Zhang Modeling seasonality and serial
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with warping functional autoregressive
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Gaoxiang Jia and
Xinlei Wang and
Qiwei Li and
Wei Lu and
Ximing Tang and
Ignacio Wistuba and
Yang Xie RCRnorm: an integrated system of
random-coefficient hierarchical
regression models for normalizing
NanoString nCounter data . . . . . . . . 1617--1647
Jesús D. Arroyo Relión and
Daniel Kessler and
Elizaveta Levina and
Stephan F. Taylor Network classification with applications
to brain connectomics . . . . . . . . . 1648--1677
Seong-Hwan Jun and
Samuel W. K. Wong and
James V. Zidek and
Alexandre Bouchard-Côté Sequential decision model for inference
and prediction on nonuniform hypergraphs
with application to knot matching from
computational forestry . . . . . . . . . 1678--1707
Qiwei Li and
Xinlei Wang and
Faming Liang and
Guanghua Xiao A Bayesian mark interaction model for
analysis of tumor pathology images . . . 1708--1732
Yiyi Liu and
Joshua L. Warren and
Hongyu Zhao A hierarchical Bayesian model for
single-cell clustering using
RNA-sequencing data . . . . . . . . . . 1733--1752
Huiping Xu and
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Changyu Shen and
Siu L. Hui and
Shaun Grannis Incorporating conditional dependence in
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Arkaprava Roy and
Subhashis Ghosal and
Jeffrey Prescott and
Kingshuk Roy Choudhury Bayesian modeling of the structural
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Jessica K. Hargreaves and
Marina I. Knight and
Jon W. Pitchford and
Rachael J. Oakenfull and
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Jack Munns and
Seth J. Davis Wavelet spectral testing: Application to
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Byron C. Jaeger and
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Dustin M. Long and
Mario Sims and
Jeff M. Szychowski and
Yuan-I Min and
Leslie A. Mcclure and
George Howard and
Noah Simon Oblique random survival forests . . . . 1847--1883
Jeffrey Regier and
Andrew C. Miller and
David Schlegel and
Ryan P. Adams and
Jon D. McAuliffe and
Prabhat Approximate inference for constructing
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Chanmin Kim and
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Joseph W. Hogan and
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Relating principal stratification and
causal mediation in the analysis of
power plant emission controls . . . . . 1927--1956
Youyi Zhang and
Jeffrey S. Morris and
Shivali Narang Aerry and
Arvind U. K. Rao and
Veerabhadran Baladandayuthapani Radio-iBAG: Radiomics-based integrative
Bayesian analysis of multiplatform
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Bret Zeldow and
Vincent Lo Re III and
Jason Roy A semiparametric modeling approach using
Bayesian Additive Regression Trees with
an application to evaluate heterogeneous
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Ye Zhang and
Zhigang Yao and
Patrik Forssén and
Torgny Fornstedt Estimating the rate constant from
biosensor data via an adaptive
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Hannah Worthington and
Rachel McCrea and
Ruth King and
Richard Griffiths Estimating abundance from multiple
sampling capture-recapture data via a
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Gabriela V. Cohen Freue and
David Kepplinger and
Matías Salibián-Barrera and
Ezequiel Smucler Robust elastic net estimators for
variable selection and identification of
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Jason Xu and
Samson Koelle and
Peter Guttorp and
Chuanfeng Wu and
Cynthia Dunbar and
Janis L. Abkowitz and
Vladimir N. Minin Statistical inference for partially
observed branching processes with
application to cell lineage tracking of
in vivo hematopoiesis . . . . . . . . . 2091--2119
Jose Ameijeiras-Alonso and
Akli Benali and
Rosa M. Crujeiras and
Alberto Rodríguez-Casal and
José M. C. Pereira Fire seasonality identification with
multimodality tests . . . . . . . . . . 2120--2139
Hongbin Zhang and
Lang Wu Joint model of accelerated failure time
and mechanistic nonlinear model for
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HIV/AIDS . . . . . . . . . . . . . . . . 2140--2157
Emily Berg and
Danhyang Lee Prediction of small area quantiles for
the conservation effects assessment
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Carolyn M. Rutter and
Jonathan Ozik and
Maria DeYoreo and
Nicholson Collier Microsimulation model calibration using
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Ian L. Dryden and
Kwang-Rae Kim and
Charles A. Laughton and
Huiling Le Principal nested shape space analysis of
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Cecilia Balocchi and
Shane T. Jensen Spatial modeling of trends in crime over
time in Philadelphia . . . . . . . . . . 2235--2259
Ningshan Zhang and
Kyle Schmaus and
Patrick O. Perry Fitting a deeply nested hierarchical
model to a large book review dataset
using a moment-based estimator . . . . . 2260--2288
Federico Castelletti and
Guido Consonni Objective Bayes model selection of
Gaussian interventional essential graphs
for the identification of signaling
pathways . . . . . . . . . . . . . . . . 2289--2311
Stephen Berg and
Jun Zhu and
Murray K. Clayton and
Monika E. Shea and
David J. Mladenoff A latent discrete Markov random field
approach to identifying and classifying
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spatial multivariate tree species counts 2312--2340
Susheela P. Singh and
Ana-Maria Staicu and
Robert R. Dunn and
Noah Fierer and
Brian J. Reich A nonparametric spatial test to identify
factors that shape a microbiome . . . . 2341--2362
John R. Tipton and
Mevin B. Hooten and
Connor Nolan and
Robert K. Booth and
Jason McLachlan Predicting paleoclimate from
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Gaussian process inverse prediction . . 2363--2388
Fan Li and
Fan Li Propensity score weighting for causal
inference with multiple treatments . . . 2389--2415
Dale L. Zimmerman and
Jun Tang and
Rui Huang Outline analyses of the called strike
zone in Major League Baseball . . . . . 2416--2451
Kun Liang Empirical Bayes analysis of RNA
sequencing experiments with auxiliary
information . . . . . . . . . . . . . . 2452--2482
Gianluca Mastrantonio and
Clara Grazian and
Sara Mancinelli and
Enrico Bibbona New formulation of the logistic-Gaussian
process to analyze trajectory tracking
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Armin Schwartzman and
Andrew J. Schork and
Rong Zablocki and
Wesley K. Thompson A simple, consistent estimator of SNP
heritability from genome-wide
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Liberty Vittert and
Adrian W. Bowman and
Stanislav Katina A hierarchical curve-based approach to
the analysis of manifold data . . . . . 2539--2563
Seth Flaxman and
Michael Chirico and
Pau Pereira and
Charles Loeffler Scalable high-resolution forecasting of
sparse spatiotemporal events with kernel
methods: a winning solution to the NIJ
``Real-Time Crime Forecasting
Challenge'' . . . . . . . . . . . . . . 2564--2585
Silvia Metelli and
Nicholas Heard On Bayesian new edge prediction and
anomaly detection in computer networks 2586--2610
Li Zhu and
Zhiguang Huo and
Tianzhou Ma and
Steffi Oesterreich and
George C. Tseng Bayesian indicator variable selection to
incorporate hierarchical overlapping
group structure in multi-omics
applications . . . . . . . . . . . . . . 2611--2636
Elizabeth Lorenzi and
Ricardo Henao and
Katherine Heller Hierarchical infinite factor models for
improving the prediction of surgical
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Joe Watson and
James V. Zidek and
Gavin Shaddick A general theory for preferential
sampling in environmental networks . . . 2662--2700
Francisco J. R. Ruiz and
Susan Athey and
David M. Blei SHOPPER: a probabilistic model of
consumer choice with substitutes and
complements . . . . . . . . . . . . . . 1--27
Jennifer E. Starling and
Jared S. Murray and
Carlos M. Carvalho and
Radek K. Bukowski and
James G. Scott BART with targeted smoothing: an
analysis of patient-specific stillbirth
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Wenjie Wang and
Robert Aseltine and
Kun Chen and
Jun Yan Integrative survival analysis with
uncertain event times in application to
a suicide risk study . . . . . . . . . . 51--73
Paul J. Birrell and
Lorenz Wernisch and
Brian D. M. Tom and
Leonhard Held and
Gareth O. Roberts and
Richard G. Pebody and
Daniela De Angelis Efficient real-time monitoring of an
emerging influenza pandemic: How
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Bryan D. Martin and
Daniela Witten and
Amy D. Willis Modeling microbial abundances and
dysbiosis with beta-binomial regression 94--115
Arnab Chakraborty and
Soumendra Nath Lahiri and
Alyson Wilson A statistical analysis of noisy
crowdsourced weather data . . . . . . . 116--142
Zhenguo Gao and
Pang Du and
Ran Jin and
John L. Robertson Surface temperature monitoring in liver
procurement via functional variance
change-point analysis . . . . . . . . . 143--159
Chih-Yuan Hsu and
Yi-Hau Chen and
Ruoh-Rong Yu and
Tsung-Wei Hung Assessing wage status transition and
stagnation using quantile transition
regression . . . . . . . . . . . . . . . 160--177
Hong Zhang and
Tiejun Tong and
John Landers and
Zheyang Wu TFisher: a powerful truncation and
weighting procedure for combining
$p$-values . . . . . . . . . . . . . . . 178--201
Kerstin Spitzer and
Marta Pelizzola and
Andreas Futschik Modifying the Chi-square and the CMH
test for population genetic inference:
Adapting to overdispersion . . . . . . . 202--220
Mohamad Elmasri and
Maxwell J. Farrell and
T. Jonathan Davies and
David A. Stephens A hierarchical Bayesian model for
predicting ecological interactions using
scaled evolutionary relationships . . . 221--240
Tsuyoshi Kunihama and
Zehang Richard Li and
Samuel J. Clark and
Tyler H. McCormick Bayesian factor models for probabilistic
cause of death assessment with verbal
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Joseph Antonelli and
Maitreyi Mazumdar and
David Bellinger and
David Christiani and
Robert Wright and
Brent Coull Estimating the health effects of
environmental mixtures using Bayesian
semiparametric regression and sparsity
inducing priors . . . . . . . . . . . . 257--275
Wanghuan Chu and
Runze Li and
Jingyuan Liu and
Matthew Reimherr Feature selection for generalized
varying coefficient mixed-effect models
with application to obesity GWAS . . . . 276--298
Jared D. Fisher and
Davide Pettenuzzo and
Carlos M. Carvalho Optimal asset allocation with
multivariate Bayesian dynamic linear
models . . . . . . . . . . . . . . . . . 299--338
Medha Uppala and
Mark S. Handcock Modeling wildfire ignition origins in
southern California using linear network
point processes . . . . . . . . . . . . 339--356
Peng Shi and
Zifeng Zhao Regression for copula-linked compound
distributions with applications in
modeling aggregate insurance claims . . 357--380
Yicheng Li and
Adrian E. Raftery Estimating and forecasting the
smoking-attributable mortality fraction
for both genders jointly in over 60
countries . . . . . . . . . . . . . . . 381--408
Yen-Chi Chen and
Adrian Dobra Measuring human activity spaces from GPS
data with density ranking and summary
curves . . . . . . . . . . . . . . . . . 409--432
Zhonghua Liu and
Ian Barnett and
Xihong Lin A comparison of principal component
methods between multiple phenotype
regression and multiple SNP regression
in genetic association studies . . . . . 433--451
Michael E. Sobel and
Martin A. Lindquist Estimating causal effects in studies of
human brain function: New models,
methods and estimands . . . . . . . . . 452--472
Alex Diana and
Eleni Matechou and
Jim Griffin and
Alison Johnston A hierarchical dependent Dirichlet
process prior for modelling bird
migration patterns in the UK . . . . . . 473--493
Boyu Ren and
Sergio Bacallado and
Stefano Favaro and
Tommi Vatanen and
Curtis Huttenhower and
Lorenzo Trippa Bayesian mixed effects models for
zero-inflated compositions in microbiome
data analysis . . . . . . . . . . . . . 494--517
Trang Quynh Nguyen and
Elizabeth A. Stuart Correction: Sensitivity analysis for an
unobserved moderator in
RCT-to-target-population generalization
of treatment effects . . . . . . . . . . 518--520
Yusha Liu and
Meng Li and
Jeffrey S. Morris Function-on-scalar quantile regression
with application to mass spectrometry
proteomics data . . . . . . . . . . . . 521--541
Geir-Arne Fuglstad and
Stefano Castruccio Compression of climate simulations with
a nonstationary global SpatioTemporal
SPDE model . . . . . . . . . . . . . . . 542--559
Hong Zhang and
Bhramar Mukherjee and
Victoria Arthur and
Gang Hu and
Hagit Hochner and
Jinbo Chen An efficient and computationally robust
statistical method for analyzing
case-control mother-offspring pair
genetic association studies . . . . . . 560--584
Halley L. Brantley and
Joseph Guinness and
Eric C. Chi Baseline drift estimation for air
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Ben Seiyon Lee and
Murali Haran and
Robert W. Fuller and
David Pollard and
Klaus Keller A fast particle-based approach for
calibrating a $3$-D model of the
Antarctic ice sheet . . . . . . . . . . 605--634
Natalie Klein and
Josue Orellana and
Scott L. Brincat and
Earl K. Miller and
Robert E. Kass Torus graphs for multivariate phase
coupling analysis . . . . . . . . . . . 635--660
Walter Dempsey and
Peng Liao and
Santosh Kumar and
Susan A. Murphy The stratified micro-randomized trial
design: Sample size considerations for
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time-varying treatments . . . . . . . . 661--684
Peiran Liu and
Adrian E. Raftery Accounting for uncertainty about past
values in probabilistic projections of
the total fertility rate for most
countries . . . . . . . . . . . . . . . 685--705
Chris Skinner and
Fiona Steele Estimation of dyadic characteristics of
family networks using sample survey data 706--726
Lorenzo Cappello and
Julia A. Palacios Sequential importance sampling for
multiresolution Kingman--Tajima
coalescent counting . . . . . . . . . . 727--751
Antoine Godichon-Baggioni and
Cathy Maugis-Rabusseau and
Andrea Rau Multiview cluster aggregation and
splitting, with an application to
multiomic breast cancer data . . . . . . 752--767
Dongyan Yan and
Subharup Guha and
Chul Ahn and
Ram Tiwari Semiparametric Bayesian Markov analysis
of personalized benefit-risk assessment 768--788
Chris McKennan and
Carole Ober and
Dan Nicolae Estimation and inference in metabolomics
with nonrandom missing data and latent
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Amir Nikooienejad and
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Valen E. Johnson Bayesian variable selection for survival
data using inverse moment priors . . . . 809--828
Bikram Karmakar and
Chyke A. Doubeni and
Dylan S. Small Evidence factors in a case-control study
with application to the effect of
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Georgia Papadogeorgou and
Francesca Dominici A causal exposure response function with
local adjustment for confounding:
Estimating health effects of exposure to
low levels of ambient fine particulate
matter . . . . . . . . . . . . . . . . . 850--871
Céline Cunen and
Lars Wallòe and
Nils Lid Hjort Focused model selection for linear mixed
models with an application to whale
ecology . . . . . . . . . . . . . . . . 872--904
Hél\`ene Ruffieux and
Anthony C. Davison and
Jörg Hager and
Jamie Inshaw and
Benjamin P. Fairfax and
Sylvia Richardson and
Leonardo Bottolo A global-local approach for detecting
hotspots in multiple-response regression 905--928
Qianqian Shan and
Yili Hong and
William Q. Meeker Seasonal warranty prediction based on
recurrent event data . . . . . . . . . . 929--955
Bo Wei and
Zhumin Zhang and
HuiChuan J. Lai and
Limin Peng Generalized accelerated recurrence time
model in the presence of a dependent
terminal event . . . . . . . . . . . . . 956--976
Shuo Zhou and
Howard Bondell and
Antoinette Tordesillas and
Benjamin I. P. Rubinstein and
James Bailey Early identification of an impending
rockslide location via a spatially-aided
Gaussian mixture model . . . . . . . . . 977--992
Subhadeep Paul and
Yuguo Chen A random effects stochastic block model
for joint community detection in
multiple networks with applications to
neuroimaging . . . . . . . . . . . . . . 993--1029
Yingye Zheng and
Douglas A. Corley and
Chyke Doubeni and
Ethan Halm and
Susan M. Shortreed and
William E. Barlow and
Ann Zauber and
Tor Devin Tosteson and
Jessica Chubak Analyses of preventive care measures
with incomplete historical data in
electronic medical records: an example
from colorectal cancer screening . . . . 1030--1044
Mark J. Giganti and
Pamela A. Shaw and
Guanhua Chen and
Sally S. Bebawy and
Megan M. Turner and
Timothy R. Sterling and
Bryan E. Shepherd Accounting for dependent errors in
predictors and time-to-event outcomes
using electronic health records,
validation samples and multiple
imputation . . . . . . . . . . . . . . . 1045--1061
Kenneth Hung and
William Fithian Statistical methods for replicability
assessment . . . . . . . . . . . . . . . 1063--1087
Jingjing Zou and
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Daniel Rabinowitz Efficiency in lung transplant allocation
strategies . . . . . . . . . . . . . . . 1088--1121
Nathan Sandholtz and
Luke Bornn Markov decision processes with dynamic
transition probabilities: an analysis of
shooting strategies in basketball . . . 1122--1145
Chao Cheng and
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combined categorical biomarker data from
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Jonathan Stallrich and
Md Nazmul Islam and
Ana-Maria Staicu and
Dustin Crouch and
Lizhi Pan and
He Huang Optimal EMG placement for a robotic
prosthesis controller with sequential,
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Chelsea Zhang and
Sean J. Taylor and
Curtiss Cobb and
Jasjeet Sekhon Active matrix factorization for surveys 1182--1206
Abhirup Datta and
Andrew Pita and
Amrita Rao and
Bhekie Sithole and
Zandile Mnisi and
Stefan Baral Size estimation of key populations in
the HIV epidemic in eSwatini using
incomplete and misaligned
capture-recapture data . . . . . . . . . 1207--1241
Seok-Oh Jeong and
Dongseok Choi and
Woncheol Jang A semiparametric mixture method for
local false discovery rate estimation
from multiple studies . . . . . . . . . 1242--1257
Idris Eckley and
Claudia Kirch and
Silke Weber A novel change-point approach for the
detection of gas emission sources using
remotely contained concentration data 1258--1284
Erik Scharwächter and
Emmanuel Müller Does terrorism trigger online hate
speech? On the association of events and
time series . . . . . . . . . . . . . . 1285--1303
Hohyun Jung and
Jae-Gil Lee and
Namgil Lee and
Sung-Ho Kim PTEM: a popularity-based topical
expertise model for community question
answering . . . . . . . . . . . . . . . 1304--1325
Zi Ye and
Giles Hooker and
Stephen P. Ellner The Jensen effect and functional single
index models: Estimating the ecological
implications of nonlinear reaction norms 1326--1341
Anna Kiriliouk and
Philippe Naveau Climate extreme event attribution using
multivariate peaks-over-thresholds
modeling and counterfactual theory . . . 1342--1358
Amanda Lenzi and
Marc G. Genton Spatiotemporal probabilistic wind vector
forecasting over Saudi Arabia . . . . . 1359--1378
Zhigang Yao and
Zengyan Fan and
Masahito Hayashi and
William F. Eddy Quantifying time-varying sources in
magnetoencephalography --- a discrete
approach . . . . . . . . . . . . . . . . 1379--1408
Imke Mayer and
Erik Sverdrup and
Tobias Gauss and
Jean-Denis Moyer and
Stefan Wager and
Julie Josse Doubly robust treatment effect
estimation with missing attributes . . . 1409--1431
Brian G. Barkley and
Michael G. Hudgens and
John D. Clemens and
Mohammad Ali and
Michael E. Emch Causal inference from observational
studies with clustered interference,
with application to a cholera vaccine
study . . . . . . . . . . . . . . . . . 1432--1448
Neil A. Spencer and
Jared S. Murray A Bayesian hierarchical model for
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Matthew D. Koslovsky and
Kristi L. Hoffman and
Carrie R. Daniel and
Marina Vannucci A Bayesian model of microbiome data for
simultaneous identification of covariate
associations and prediction of
phenotypic outcomes . . . . . . . . . . 1471--1492
Xiaofei Xu and
Ying Chen and
Cathy W. S. Chen and
Xiancheng Lin Adaptive log-linear zero-inflated
generalized Poisson autoregressive model
with applications to crime counts . . . 1493--1515
Saverio Ranciati and
Veronica Vinciotti and
Ernst C. Wit Identifying overlapping terrorist cells
from the Noordin Top actor-event network 1516--1534
Zhe Sun and
Wanli Xu and
Xiaomei Cong and
Gen Li and
Kun Chen Log-contrast regression with functional
compositional predictors: Linking
preterm infants' gut microbiome
trajectories to neurobehavioral outcome 1535--1556
Philip S. Boonstra and
John C. Krauss Inferring a consensus problem list using
penalized multistage models for ordered
data . . . . . . . . . . . . . . . . . . 1557--1580
Anna K. Yanchenko and
Peter D. Hoff Hierarchical multidimensional scaling
for the comparison of musical
performance styles . . . . . . . . . . . 1581--1603
Yicheng Kang Measuring timeliness of annual reports
filing by jump additive models . . . . . 1604--1621
Jared D. Fisher and
David W. Puelz and
Carlos M. Carvalho Monotonic effects of characteristics on
returns . . . . . . . . . . . . . . . . 1622--1650
Erin M. Schliep and
Sarah M. Collins and
Shirley Rojas-Salazar and
Noah R. Lottig and
Emily H. Stanley Data fusion model for speciated nitrogen
to identify environmental drivers and
improve estimation of nitrogen in lakes 1651--1675
Yulia Baker and
Tiffany M. Tang and
Genevera I. Allen Feature selection for data integration
with mixed multiview data . . . . . . . 1676--1698
Yuanjun Gao and
Jack Goetz and
Matthew Connelly and
Rahul Mazumder Mining events with declassified
diplomatic documents . . . . . . . . . . 1699--1723
Yoshikazu Terada and
Issei Ogasawara and
Ken Nakata Classification from only positive and
unlabeled functional data . . . . . . . 1724--1742
Federico Ferrari and
David B. Dunson Identifying main effects and
interactions among exposures using
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Yan Wang and
Xiaowei Yue and
Rui Tuo and
Jeffrey H. Hunt and
Jianjun Shi Effective model calibration via sensible
variable identification and adjustment
with application to composite fuselage
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Trambak Banerjee and
Bhaswar B. Bhattacharya and
Gourab Mukherjee A nearest-neighbor based nonparametric
test for viral remodeling in
heterogeneous single-cell proteomic data 1777--1805
David Cheng and
Rajeev Ayyagari and
James Signorovitch The statistical performance of
matching-adjusted indirect comparisons:
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aggregate external control data . . . . 1806--1833
Marie Du Roy de Chaumaray and
Matthieu Marbac and
Fabien Navarro Mixture of hidden Markov models for
accelerometer data . . . . . . . . . . . 1834--1855
Tianjian Zhou and
Subhajit Sengupta and
Peter Müller and
Yuan Ji RNDClone: Tumor subclone reconstruction
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Matthew D. Koslovsky and
Emily T. Hébert and
Michael S. Businelle and
Marina Vannucci A Bayesian time-varying effect model for
behavioral mHealth data . . . . . . . . 1878--1902
Yajuan Si and
Mari Palta and
Maureen Smith Bayesian profiling multiple imputation
for missing hemoglobin values in
electronic health records . . . . . . . 1903--1924
Panayiota Touloupou and
Bärbel Finkenstädt and
Thomas E. Besser and
Nigel P. French and
Simon E. F. Spencer Bayesian inference for multistrain
epidemics with application to
\bionameEscherichia coli O157:H7 in
feedlot cattle . . . . . . . . . . . . . 1925--1944
Brian J. Reich and
Yawen Guan and
Denis Fourches and
Joshua L. Warren and
Stefanie E. Sarnat and
Howard H. Chang Integrative statistical methods for
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Naomi E. Hannaford and
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Tom M. W. Nye and
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George Mohler and
Erin McGrath and
Cody Buntain and
Gary LaFree Hawkes binomial topic model with
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Federico Camerlenghi and
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K. Sham Bhat and
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James Colgan and
Elizabeth Judge Structured discrepancy in Bayesian model
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Aleksander Sòltoft-Jensen and
Mads Peter Heide-Jòrgensen and
Susanne Ditlevsen Modelling the sound production of
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Qian Li and
John Shamshoian and
Damla Sentürk and
Catherine Sugar and
Shafali Jeste and
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Patrick M. Schnell and
Georgia Papadogeorgou Mitigating unobserved spatial
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Iain L. MacDonald Letter to the Editor: Fitting a folded
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Fernando A. Quintana and
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Chenguang Dai and
Duo Chan and
Peter Huybers and
Natesh Pillai Late 19th century navigational
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Chris Glynn and
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Jeff T. Mohl and
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Jennifer M. Groh Analyzing second order stochasticity of
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Shanghong Xie and
Donglin Zeng and
Yuanjia Wang Integrative network learning for
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Xueying Liu and
Jeremy Carter and
Brad Ray and
George Mohler Point process modeling of drug overdoses
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Emily Berg and
Jae-Kwang Kim An approximate best prediction approach
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Tanayott Thaweethai and
David E. Arterburn and
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Sebastien Haneuse Robust inference when combining
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Gemma E. Moran and
Veronika Rocková and
Edward I. George Spike-and-slab Lasso biclustering . . . 148--173
Moreno Ursino and
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Tim Friede Random-effects meta-analysis of Phase I
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Jenny Yang and
Yang Liu and
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Jacob M. Schauer and
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Marc A. Suchard Large-scale inference of correlation
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Jing Huang and
Yi Cai and
Jingcheng Du and
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Johann A. Gagnon-Bartsch The role of scale in the estimation of
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Fan Li and
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Joseph G. Ibrahim Model-based feature selection and
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David Ginsbourger and
Kanna Rajan Learning excursion sets of vector-valued
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Hannah M. Director and
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Christian Capezza and
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Matteo Fasiolo Additive stacking for disaggregate
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Yang Yang and
Chunlin Ji and
Ke Deng Rapid design of metamaterials via
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Devin Johnson and
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Ricardo Silva Two-way sparsity for time-varying
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Vishal Sarsani and
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Aaron J. Molstad and
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Li Hsu A covariance-enhanced approach to
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Shuchismita Sarkar and
Volodymyr Melnykov and
Xuwen Zhu Tensor-variate finite mixture modeling
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Chris Glynn and
Thomas H. Byrne and
Dennis P. Culhane Inflection points in community-level
homeless rates . . . . . . . . . . . . . 1037--1053
Alexander C. McLain and
Siyuan Guo and
Marie Thoma and
Jiajia Zhang Length-biased semicompeting risks models
for cross-sectional data: an application
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Andreea L. Erciulescu and
Jean D. Opsomer and
F. Jay Breidt A bridging model to reconcile statistics
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Yoav Benjamini and
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Bradley Efron and
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Barry I. Graubard and
Xuming He and
Xiao-Li Meng and
Nancy Reid and
Stephen M. Stigler and
Stephen B. Vardeman and
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Tommy Wright and
Linda J. Young and
Karen Kafadar The ASA President's Task Force statement
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Patrick Tighe and
Fei Zou and
Baiming Zou A deep learning semiparametric
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Henrique Hoeltgebaum and
Niall Adams and
F. Din-Houn Lau Unsupervised streaming anomaly detection
for instrumented infrastructure . . . . 1101--1125
Theodore Huang and
Gregory Idos and
Christine Hong and
Stephen B. Gruber and
Giovanni Parmigiani and
Danielle Braun Extending models via gradient boosting:
an application to Mendelian models . . . 1126--1146
Daniel J. McDonald and
Michael McBride and
Yupeng Gu and
Christopher Raphael Markov-switching state space models for
uncovering musical interpretation . . . 1147--1170
Beniamino Hadj-Amar and
Bärbel Finkenstädt and
Mark Fiecas and
Robert Huckstepp Identifying the recurrence of sleep
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Patricia A. Lohr and
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Lin Wang and
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Jing Qin and
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Prajamitra Bhuyan Two-stage circular-circular regression
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Michele Zemplenyi and
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Joel Schwartz and
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Arkaprava Roy and
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Amy H. Herring Bayesian joint modeling of chemical
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Benjamin B. Risk and
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Menggang Yu and
Chensheng Kuang and
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Maureen Smith Diagnosis-group-specific transitional
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Fengqing Chao and
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Alex R. Cook and
Leontine Alkema Global estimation and scenario-based
projections of sex ratio at birth and
missing female births using a Bayesian
hierarchical time series mixture model 1499--1528
Zhuoran Shang and
Elena A. Erosheva and
Gongjun Xu Partial-mastery cognitive diagnosis
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Sungkyu Jung and
Kiho Park and
Byungwon Kim Clustering on the torus by conformal
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Derek Bingham and
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model for binary black hole formation 1604--1627
Patrizia Zamberletti and
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Edith Gabriel and
Thomas Opitz Markov random field models for
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Juhyun Kim and
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Jan Hannig and
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Roberta De Vito and
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Weston D. Viles and
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Karthik Bharath and
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Jiachen Zhang and
Paola Crippa and
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Stefano Castruccio Assessing the reliability of wind power
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Shuoran Li and
Young Myoung Ko and
Eunshin Byon Nonparametric importance sampling for
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Joe Watson and
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Xingchen Yu and
Abel Rodríguez Spatial voting models in circular
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Ted Westling and
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Sneha Jadhav and
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Shuangge Ma Pan-disease clustering analysis of the
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Tracy Qi Dong and
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Renata Retkute and
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Prajamitra Bhuyan and
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Ruoqi Yu and
Dylan S. Small and
Paul R. Rosenbaum The information in covariate imbalance
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Isobel Claire Gormley Inferring food intake from multiple
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Christopher T. Franck and
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Timothy C. Au Robust causal inference for incremental
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Yanxun Xu BAGEL: a Bayesian graphical model for
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Baqun Zhang and
Min Zhang Subgroup identification and variable
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Andrew J. Spieker and
Robert A. Greevy and
Lyndsay A. Nelson and
Lindsay S. Mayberry Bounding the local average treatment
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Shiquan Sun and
Haoda Fu and
Peter X.-K. Song Subgroup-effects models for the analysis
of personal treatment effects . . . . . 80--103
Florian Huber and
Luca Rossini Inference in Bayesian additive vector
autoregressive tree models . . . . . . . 104--123
Austin E. Schumacher and
Tyler H. McCormick and
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Yue Chu and
Jamie Perin and
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Noah Simon and
Li Liu A flexible Bayesian framework to
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Ryan Janicki and
Andrew M. Raim and
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Jerry J. Maples Bayesian nonparametric multivariate
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with application to American Community
Survey special tabulations . . . . . . . 144--168
Jane W. Liang and
'Saunak Sen Sparse matrix linear models for
structured high-throughput data . . . . 169--192
Eric F. Lock and
Jun Young Park and
Katherine A. Hoadley Bidimensional linked matrix
factorization for pan-omics pan-cancer
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Drew Yarger and
Stilian Stoev and
Tailen Hsing A functional-data approach to the Argo
data . . . . . . . . . . . . . . . . . . 216--246
Raquel Barata and
Raquel Prado and
Bruno Sansó Fast inference for time-varying
quantiles via flexible dynamic models
with application to the characterization
of atmospheric rivers . . . . . . . . . 247--271
Peng Zhong and
Raphaël Huser and
Thomas Opitz Modeling nonstationary temperature
maxima based on extremal dependence
changing with event magnitude . . . . . 272--299
Kaoru Irie and
Chris Glynn and
Tevfik Aktekin Sequential modeling, monitoring, and
forecasting of streaming web traffic
data . . . . . . . . . . . . . . . . . . 300--325
Edgar Santos-Fernandez and
Francesco Denti and
Kerrie Mengersen and
Antonietta Mira The role of intrinsic dimension in
high-resolution player tracking
data-Insights in basketball . . . . . . 326--348
Tianyu Guan and
Robert Nguyen and
Jiguo Cao and
Tim Swartz In-game win probabilities for the
National Rugby League . . . . . . . . . 349--367
Katie E. Severn and
Ian L. Dryden and
Simon P. Preston Manifold valued data analysis of samples
of networks, with applications in corpus
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Massimiliano Russo and
Burton H. Singer and
David B. Dunson Multivariate mixed membership modeling:
Inferring domain-specific risk profiles 391--413
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Iavor Bojinov Estimating the effectiveness of
permanent price reductions for competing
products using multivariate Bayesian
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Harlan Campbell and
Perry de Valpine and
Lauren Maxwell and
Valentijn M. T. de Jong and
Thomas P. A. Debray and
Thomas Jaenisch and
Paul Gustafson Bayesian adjustment for preferential
testing in estimating infection fatality
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Domenico De Stefano and
Francesco Pauli and
Nicola Torelli Preelectoral polls variability: a
hierarchical Bayesian model to assess
the role of house effects with
application to Italian elections . . . . 460--476
Thomas J. Fisher and
Jing Zhang and
Stephen P. Colegate and
Michael J. Vanni Detecting and modeling changes in a time
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Zoe Guan and
Giovanni Parmigiani and
Danielle Braun and
Lorenzo Trippa Prediction of hereditary cancers using
neural networks . . . . . . . . . . . . 495--520
Xichen Mou and
Hongmei Zhang and
S. Hasan Arshad Identifying intergenerational patterns
of correlated methylation sites . . . . 521--536
Mark J. Meyer and
Jeffrey S. Morris and
Regina Paxton Gazes and
Brent A. Coull Ordinal probit functional outcome
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Yu Gu and
John S. Preisser and
Donglin Zeng and
Poojan Shrestha and
Molina Shah and
Miguel A. Simancas-Pallares and
Jeannie Ginnis and
Kimon Divaris Partitioning around medoids clustering
and random forest classification for
GIS-informed imputation of fluoride
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Andrew J. Holbrook and
Xiang Ji and
Marc A. Suchard Bayesian mitigation of spatial
coarsening for a Hawkes model applied to
gunfire, wildfire and viral contagion 573--595
Aya A. Mitani and
Elizabeth K. Kaye and
Kerrie P. Nelson Accounting for drop-out using inverse
probability censoring weights in
longitudinal clustered data with
informative cluster size . . . . . . . . 596--611
So Young Ryu Likelihood-based bacterial
identification approach for bimicrobial
mass spectrometry data . . . . . . . . . 612--624
Matthew D. Koslovsky and
Kristi L. Hoffman and
Carrie R. Daniel and
Marina Vannucci Correction to: A Bayesian model of
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Thomas M. Trimbur and
Tucker S. McElroy Modelled approximations to the ideal
filter with application to GDP and its
components . . . . . . . . . . . . . . . 627--651
David E. Jones and
David C. Stenning and
Eric B. Ford and
Robert L. Wolpert and
Thomas J. Loredo and
Christian Gilbertson and
Xavier Dumusque Improving exoplanet detection power:
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stellar activity . . . . . . . . . . . . 652--679
Wesley Tansey and
Christopher Tosh and
David M. Blei A Bayesian model of dose-response for
cancer drug studies . . . . . . . . . . 680--705
Leonhard Held and
Charlotte Micheloud and
Samuel Pawel The assessment of replication success
based on relative effect size . . . . . 706--720
Martin Tveten and
Idris A. Eckley and
Paul Fearnhead Scalable change-point and anomaly
detection in cross-correlated data with
an application to condition monitoring 721--743
Jialei Chen and
Simon Mak and
V. Roshan Joseph and
Chuck Zhang Adaptive design for Gaussian process
regression under censoring . . . . . . . 744--764
Emanuele Aliverti and
David B. Dunson Composite mixture of log--linear models
with application to psychiatric studies 765--790
Nicoletta D'Angelo and
Giada Adelfio and
Antonino Abbruzzo and
Jorge Mateu Inhomogeneous spatio-temporal point
processes on linear networks for
visitors' stops data . . . . . . . . . . 791--815
Boya Zhang and
Robert B. Gramacy and
Leah R. Johnson and
Kenneth A. Rose and
Eric Smith Batch-sequential design and
heteroskedastic surrogate modeling for
delta smelt conservation . . . . . . . . 816--842
Marc Schneble and
Göran Kauermann Intensity estimation on geometric
networks with penalized splines . . . . 843--865
Jianqiao Wang and
Wanjie Wang and
Hongzhe Li Sparse block signal detection and
identification for shared cross-trait
association analysis . . . . . . . . . . 866--886
Paul A. Parker and
Scott H. Holan and
Ryan Janicki Computationally efficient Bayesian
unit-level models for non-Gaussian data
under informative sampling with
application to estimation of health
insurance coverage . . . . . . . . . . . 887--904
Árni V. Jóhannesson and
Stefan Siegert and
Raphaël Huser and
Haakon Bakka and
Birgir Hrafnkelsson Approximate Bayesian inference for
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Jiahua Chen and
Yukun Liu and
Carilyn G. Taylor and
James V. Zidek Permutation tests under a rotating
sampling plan with clustered data . . . 936--958
Oksana A. Chkrebtii and
Yury E. García and
Marcos A. Capistrán and
Daniel E. Noyola Inference for stochastic kinetic models
from multiple data sources for joint
estimation of infection dynamics from
aggregate reports and virological data 959--981
Sina Mews and
Roland Langrock and
Ruth King and
Nicola Quick Multistate capture-recapture models for
irregularly sampled data . . . . . . . . 982--998
Toryn L. J. Schafer and
Christopher K. Wikle and
Mevin B. Hooten Bayesian inverse reinforcement learning
for collective animal movement . . . . . 999--1013
Liangyuan Hu and
Jungang Zou and
Chenyang Gu and
Jiayi Ji and
Michael Lopez and
Minal Kale A flexible sensitivity analysis approach
for unmeasured confounding with multiple
treatments and a binary outcome with
application to SEER-Medicare lung cancer
data . . . . . . . . . . . . . . . . . . 1014--1037
Ali Rafei and
Carol A. C. Flannagan and
Brady T. West and
Michael R. Elliott Robust Bayesian inference for Big Data:
Combining sensor-based records with
traditional survey data . . . . . . . . 1038--1070
Tanbin Rahman and
Hsin-En Huang and
Yujia Li and
An-Shun Tai and
Wen-Ping Hseih and
Colleen A. McClung and
George Tseng A sparse negative binomial classifier
with covariate adjustment for RNA-seq
data . . . . . . . . . . . . . . . . . . 1071--1089
Ander Wilson and
Hsiao-Hsien Leon Hsu and
Yueh-Hsiu Mathilda Chiu and
Robert O. Wright and
Rosalind J. Wright and
Brent A. Coull Kernel machine and distributed lag
models for assessing windows of
susceptibility to environmental mixtures
in children's health studies . . . . . . 1090--1110
Michael Johnson and
Jiongyi Cao and
Hyunseung Kang Detecting heterogeneous treatment
effects with instrumental variables and
application to the Oregon health
insurance experiment . . . . . . . . . . 1111--1129
Xiaoyang Guo and
Aditi Basu Bal and
Tom Needham and
Anuj Srivastava Statistical shape analysis of brain
arterial networks (BAN) . . . . . . . . 1130--1150
Shixiang Zhu and
Yao Xie Spatiotemporal-textual point processes
for crime linkage detection . . . . . . 1151--1170
Jing Wu and
Owen G. Ward and
James Curley and
Tian Zheng Markov-modulated Hawkes processes for
modeling sporadic and bursty event
occurrences in social interactions . . . 1171--1190
Tianhao Wang and
Lei Yu and
Sue E. Leurgans and
Robert S. Wilson and
David A. Bennett and
Patricia A. Boyle Conditional functional clustering for
longitudinal data with heterogeneous
nonlinear patterns . . . . . . . . . . . 1191--1214
Sydney Kahmann and
Erin Hartman and
Jorja Leap and
P. Jeffrey Brantingham Impact evaluation of the LAPD community
safety partnership . . . . . . . . . . . 1215--1235
Alon Kipnis Higher criticism for discriminating
word-frequency tables and authorship
attribution . . . . . . . . . . . . . . 1236--1252
Yuping Zhang and
Disheng Mao and
Zhengqing Ouyang Model-based distance embedding with
applications to chromosomal conformation
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Andrew Jones and
F. William Townes and
Didong Li and
Barbara E. Engelhardt Contrastive latent variable modeling
with application to case-control
sequencing experiments . . . . . . . . . 1268--1291
Yiwen Liu and
Xiaoxiao Sun and
Wenxuan Zhong and
Bing Li B-scaling: a novel nonparametric data
fusion method . . . . . . . . . . . . . 1292--1312
Francesco Sanna Passino and
Melissa J. M. Turcotte and
Nicholas A. Heard Graph link prediction in computer
networks using Poisson matrix
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Hu Sun and
Zhijun Hua and
Jiaen Ren and
Shasha Zou and
Yuekai Sun and
Yang Chen Matrix completion methods for the total
electron content video reconstruction 1333--1358
Connor P. Gibbs and
Ryan Elmore and
Bailey K. Fosdick The causal effect of a timeout at
stopping an opposing run in the NBA . . 1359--1379
Antik Chakraborty and
Otso Ovaskainen and
David B. Dunson Bayesian semiparametric long memory
models for discretized event data . . . 1380--1399
Charles Bouveyron and
Julien Jacques and
Amandine Schmutz and
Fanny Simões and
Silvia Bottini Co-clustering of multivariate functional
data for the analysis of air pollution
in the South of France . . . . . . . . . 1400--1422
Tianying Wang and
Iuliana Ionita-Laza and
Ying Wei Integrated Quantile RAnk Test (iQRAT)
for gene-level associations . . . . . . 1423--1444
Ying Kuen Cheung and
Thevaa Chandereng and
Keith M. Diaz A novel framework to estimate
multidimensional minimum effective doses
using asymmetric posterior gain and $
\epsilon $-tapering . . . . . . . . . . 1445--1458
Iris Ivy M. Gauran and
Junyong Park and
Ilia Rattsev and
Thomas A. Peterson and
Maricel G. Kann and
DoHwan Park Bayesian local false discovery rate for
sparse count data with application to
the discovery of hotspots in protein
domains . . . . . . . . . . . . . . . . 1459--1475
Jialiang Mao and
Li Ma Dirichlet-tree multinomial mixtures for
clustering microbiome compositions . . . 1476--1499
Louis G. Jensen and
David J. Williamson and
Ute Hahn Semiparametric point process modeling of
blinking artifacts in PALM . . . . . . . 1500--1523
Léo R. Belzile and
Anthony C. Davison Improved inference on risk measures for
univariate extremes . . . . . . . . . . 1524--1549
Jacob Parsons and
Xiaoyue Niu and
Le Bao A Bayesian hierarchical model for
combining multiple data sources in
population size estimation . . . . . . . 1550--1562
Paul S. Clarke and
Yanchun Bao Estimating mode effects from a
sequential mixed-mode experiment using
structural moment models . . . . . . . . 1563--1585
Sebastien Haneuse and
Deborah Schrag and
Francesca Dominici and
Sharon-Lise Normand and
Kyu Ha Lee Measuring performance for end-of-life
care . . . . . . . . . . . . . . . . . . 1586--1607
Chiara Masci and
Francesca Ieva and
Anna Maria Paganoni Semiparametric multinomial mixed-effects
models: a university students profiling
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Joshua L. Warren and
Howard H. Chang and
Lauren K. Warren and
Matthew J. Strickland and
Lyndsey A. Darrow and
James A. Mulholland Critical window variable selection for
mixtures: Estimating the impact of
multiple air pollutants on stillbirth 1633--1652
Thomas Opitz and
Haakon Bakka and
Raphaël Huser and
Luigi Lombardo High-resolution Bayesian mapping of
landslide hazard with unobserved trigger
event . . . . . . . . . . . . . . . . . 1653--1675
Guoqing Wang and
Abhirup Datta and
Martin A. Lindquist Bayesian functional registration of fMRI
activation maps . . . . . . . . . . . . 1676--1699
Emily C. Hector and
Peter X.-K. Song Joint integrative analysis of multiple
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Yunxiao Chen and
Yan Lu and
Irini Moustaki Detection of two-way outliers in
multivariate data and application to
cheating detection in educational tests 1718--1746
Yun Ling and
Martin Lysy and
Ian Seim and
Jay Newby and
David B. Hill and
Jeremy Cribb and
M. Gregory Forest Measurement error correction in particle
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Ying Huang and
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Peter Gilbert Sensitivity analysis for evaluating
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the equal early clinical risk assumption 1774--1794
Bingjie Liu and
Xubo Yue and
Eunshin Byon and
Raed Al Kontar Parameter calibration in wake effect
simulation model with stochastic
gradient descent and stratified sampling 1795--1821
Yan Gong and
Raphaël Huser Asymmetric tail dependence modeling,
with application to cryptocurrency
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Guido A. Moreira and
Dani Gamerman Analysis of presence-only data via exact
Bayes, with model and effects
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Janie Coulombe and
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Robert W. Platt and
Christel Renoux Estimation of the marginal effect of
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Junyang Qian and
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Philip A. White and
Henry Frye and
Michael F. Christensen and
Alan E. Gelfand and
John A. Silander Spatial functional data modeling of
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Won Chang and
Bledar A. Konomi and
Georgios Karagiannis and
Yawen Guan and
Murali Haran Ice model calibration using
semicontinuous spatial data . . . . . . 1937--1961
Federico Tullio and
Francesco Bartolucci Causal inference for time-varying
treatments in latent Markov models: An
application to the effects of
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Falco J. Bargagli-Stoffi and
Kristof De Witte and
Giorgio Gnecco Heterogeneous causal effects with
imperfect compliance: a Bayesian machine
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Simon Dirmeier and
Niko Beerenwinkel Structured hierarchical models for
probabilistic inference from
perturbation screening data . . . . . . 2010--2029
Gianluca Mastrantonio Modeling animal movement with
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Abhisek Saha and
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Satwik Acharyya and
Veerabhadran Baladandayuthapani A Bayesian precision medicine framework
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Gordon J. Ross and
Aleksandar A. Kolev Semiparametric Bayesian forecasting of
SpatioTemporal earthquake occurrences 2083--2100
Zhengfan Wang and
Miranda J. Fix and
Lucia Hug and
Anu Mishra and
Danzhen You and
Hannah Blencowe and
Jon Wakefield and
Leontine Alkema Estimating the stillbirth rate for 195
countries using a Bayesian sparse
regression model with temporal smoothing 2101--2121
Eardi Lila and
John A. D. Aston Functional random effects modeling of
brain shape and connectivity . . . . . . 2122--2144
Gabriel Loewinger and
Prasad Patil and
Kenneth T. Kishida and
Giovanni Parmigiani Hierarchical resampling for bagging in
multistudy prediction with applications
to human neurochemical sensing . . . . . 2145--2165
Sen Zhao and
Ali Shojaie Network differential connectivity
analysis . . . . . . . . . . . . . . . . 2166--2182
Qiuyu Wu and
Xiangyu Luo Estimating heterogeneous gene regulatory
networks from zero-inflated single-cell
expression data . . . . . . . . . . . . 2183--2200
Marco H. Benedetti and
Veronica J. Berrocal and
Roderick J. Little Accounting for survey design in Bayesian
disaggregation of survey-based areal
estimates of proportions: An application
to the American Community Survey . . . . 2201--2230
Lingjing Jiang and
Chris Elrod and
Jane J. Kim and
Austin D. Swafford and
Rob Knight and
Wesley K. Thompson Bayesian multivariate sparse functional
principal components analysis with
application to longitudinal microbiome
multiomics data . . . . . . . . . . . . 2231--2249
Wei Zhang and
Zhiwei Zhang and
James F. Troendle and
Aiyi Liu Data-adaptive efficient estimation
strategies for biomarker studies
embedded in randomized trials . . . . . 2250--2265
Yifei Sun and
Xuming He and
Jianhua Hu An omnibus test for detection of
subgroup treatment effects via data
partitioning . . . . . . . . . . . . . . 2266--2278
Zonghui Hu and
Zhiwei Zhang and
Dean Follmann Assessing treatment effect through
compliance score in randomized trials
with noncompliance . . . . . . . . . . . 2279--2290
Weicheng Zhu and
Zhengyuan Zhu and
Xiongtao Dai Spatiotemporal satellite data imputation
using sparse functional data analysis 2291--2313
Harm Jan Boonstra and
Jan van den Brakel Multilevel time-series models for small
area estimation at different frequencies
and domain levels . . . . . . . . . . . 2314--2338
Alessio Farcomeni How many refugees and migrants died
trying to reach Europe? Joint population
size and total estimation . . . . . . . 2339--2351
Gautier Viaud and
Yuting Chen and
Paul-Henry Courn\`ede Full Bayesian inference in hidden Markov
models of plant growth . . . . . . . . . 2352--2368
Sirio Legramanti and
Tommaso Rigon and
Daniele Durante and
David B. Dunson Extended stochastic block models with
application to criminal networks . . . . 2369--2395
Jingru Zhang and
Kathleen R. Merikangas and
Hongzhe Li and
Haochang Shou Two-sample tests for multivariate
repeated measurements of histogram
objects with applications to wearable
device data . . . . . . . . . . . . . . 2396--2416
Alessandro Casa and
Tom F. O'Callaghan and
Thomas Brendan Murphy Parsimonious Bayesian factor analysis
for modelling latent structures in
spectroscopy data . . . . . . . . . . . 2417--2436
Hee Cheol Chung and
Irina Gaynanova and
Yang Ni Phylogenetically informed Bayesian
truncated copula graphical models for
microbial association networks . . . . . 2437--2457
Matteo Bonvini and
Edward H. Kennedy and
Valerie Ventura and
Larry Wasserman Causal inference for the effect of
mobility on COVID-19 deaths . . . . . . 2458--2480
Ruitao Lin and
Haolun Shi and
Guosheng Yin and
Peter F. Thall and
Ying Yuan and
Christopher R. Flowers Bayesian hierarchical random-effects
meta-analysis and design of phase I
clinical trials . . . . . . . . . . . . 2481--2504
Chih-Li Sung Estimating functional parameters for
understanding the impact of weather and
government interventions on COVID-19
outbreak . . . . . . . . . . . . . . . . 2505--2522
Chen Tang and
Han Lin Shang and
Yanrong Yang Clustering and forecasting multiple
functional time series . . . . . . . . . 2523--2553
Oliver M. Crook and
Kathryn S. Lilley and
Laurent Gatto and
Paul D. W. Kirk Semi-supervised nonparametric Bayesian
modelling of spatial proteomics . . . . 2554--2576
Joseph Feldman and
Daniel R. Kowal Bayesian data synthesis and the
utility-risk trade-off for mixed
epidemiological data . . . . . . . . . . 2577--2602
Samuel Baugh and
Karen McKinnon Hierarchical Bayesian modeling of ocean
heat content and its uncertainty . . . . 2603--2625
Andrew S. Whiteman and
Andreas J. Bartsch and
Jian Kang and
Timothy D. Johnson Bayesian inference for brain activity
from functional magnetic resonance
imaging collected at two spatial
resolutions . . . . . . . . . . . . . . 2626--2647
Barak Brill and
Amnon Amir and
Ruth Heller Testing for differential abundance in
compositional counts data, with
application to microbiome studies . . . 2648--2671
Andrew C. Miller and
Lauren Anderson and
Boris Leistedt and
John P. Cunningham and
David W. Hogg and
David M. Blei Mapping interstellar dust with Gaussian
processes . . . . . . . . . . . . . . . 2672--2692
Jordan Richards and
Jonathan A. Tawn and
Simon Brown Modelling extremes of spatial aggregates
of precipitation using conditional
methods . . . . . . . . . . . . . . . . 2693--2713
Alexandra Larsen and
Shu Yang and
Brian J. Reich and
Ana G. Rappold A spatial causal analysis of wildland
fire-contributed . . . . . . . . . . . . 2714--2731
Ting Ye and
Dylan S. Small and
Paul R. Rosenbaum Dimensions, power and factors in an
observational study of behavioral
problems after physical abuse of
children . . . . . . . . . . . . . . . . 2732--2754
Emily L. Morris and
Kevin He and
Jian Kang Scalar on network regression via
boosting . . . . . . . . . . . . . . . . 2755--2773
Jonathan Embleton and
Marina I. Knight and
Hernando Ombao Multiscale spectral modelling for
nonstationary time series within an
ordered multiple-trial experiment . . . 2774--2803
Han Yan and
Jiexing Wu and
Yang Li and
Jun S. Liu Bayesian bi-clustering methods with
applications in computational biology 2804--2831
Mingwei Tang and
Gytis Dudas and
Trevor Bedford and
Vladimir N. Minin Fitting stochastic epidemic models to
gene genealogies using linear noise
approximation . . . . . . . . . . . . . 1--22
Bo Zhang and
Siyu Heng and
Ting Ye and
Dylan S. Small Social distancing and COVID-19:
Randomization inference for a structured
dose-response relationship . . . . . . . 23--46
Xiulin Xie and
Peihua Qiu Control charts for dynamic process
monitoring with an application to air
pollution surveillance . . . . . . . . . 47--66
Juan D. Díaz and
José R. Zubizarreta Complex discontinuity designs using
covariates: Impact of school grade
retention on later life outcomes in
Chile . . . . . . . . . . . . . . . . . 67--88
Jiaqi Gu and
Philip L. H. Yu Social order statistics models for
ranking data with analysis of
preferences in social networks . . . . . 89--107
Ben Sheng and
Changcheng Li and
Le Bao and
Runze Li Probabilistic HIV recency classification
--- a logistic regression without
labeled individual level training data 108--129
María Alonso-Pena and
Rosa M. Crujeiras Analyzing animal escape data with
circular nonparametric multimodal
regression . . . . . . . . . . . . . . . 130--152
Mary M. Ryan and
Daniel L. Gillen Sequential sampling in prospective
observational studies . . . . . . . . . 153--177
Matheus B. Guerrero and
Raphaël Huser and
Hernando Ombao Conex-Connect: Learning patterns in
extremal brain connectivity from
MultiChannel EEG data . . . . . . . . . 178--198
Nathaniel Josephs and
Lizhen Lin and
Steven Rosenberg and
Eric D. Kolaczyk Bayesian classification, anomaly
detection, and survival analysis using
network inputs with application to the
microbiome . . . . . . . . . . . . . . . 199--224
Yan Li and
Kun Chen and
Jun Yan and
Xuebin Zhang Regularized fingerprinting in detection
and attribution of climate change with
weight matrix optimizing the efficiency
in scaling factor estimation . . . . . . 225--239
Hong Sun and
Maochao Xu and
Peng Zhao A multivariate frequency-severity
framework for healthcare data breaches 240--268
Yang Yang and
Ke Deng Generalized theme dictionary models for
association pattern discovery . . . . . 269--293
Zhiwei Zhang and
Zonghui Hu and
Dean Follmann and
Lei Nie Estimating the average treatment effect
in randomized clinical trials with
all-or-none compliance . . . . . . . . . 294--312
Beatrice Franzolini and
Antonio Lijoi and
Igor Prünster Model selection for maternal
hypertensive disorders with symmetric
hierarchical Dirichlet processes . . . . 313--332
Emily T. Wang and
Sharon Chiang and
Zulfi Haneef and
Vikram R. Rao and
Robert Moss and
Marina Vannucci Bayesian non-homogeneous hidden Markov
model with variable selection for
investigating drivers of seizure risk
cycling . . . . . . . . . . . . . . . . 333--356
Sangwon Hyun and
Mattias Rolf Cape and
Francois Ribalet and
Jacob Bien Modeling cell populations measured by
flow cytometry with covariates using
sparse mixture of regressions . . . . . 357--377
Jonathan P. Williams and
Danica M. Ommen and
Jan Hannig Generalized fiducial factor: An
alternative to the Bayes factor for
forensic identification of source
problems . . . . . . . . . . . . . . . . 378--402
Tananun Songdechakraiwut and
Moo K. Chung Topological learning for brain networks 403--433
Yuming Sun and
Jian Kang and
Chad Brummett and
Yi Li Individualized risk assessment of
preoperative opioid use by interpretable
neural network regression . . . . . . . 434--453
Bo Zhang and
Emily J. Mackay and
Mike Baiocchi Statistical matching and
subclassification with a continuous
dose: Characterization, algorithm, and
application to a health outcomes study 454--475
Sabyasachi Mukhopadhyay and
Wreetabrata Kar and
Gourab Mukherjee Estimating promotion effects in email
marketing using a large-scale
cross-classified Bayesian joint model
for nested imbalanced data . . . . . . . 476--497
Debbie J. Dupuis and
Sebastian Engelke and
Luca Trapin Modeling panels of extremes . . . . . . 498--517
Yaotian Wang and
Guofen Yan and
Xiaofeng Wang and
Shuoran Li and
Lingyi Peng and
Dana L. Tudorascu and
Tingting Zhang A variational Bayesian approach to
identifying whole-brain directed
networks with fMRI data . . . . . . . . 518--538
Matteo Pedone and
Amedeo Amedei and
Francesco C. Stingo Subject-specific Dirichlet-multinomial
regression for multi-district microbiota
data analysis . . . . . . . . . . . . . 539--559
Jonathan Koh and
François Pimont and
Jean-Luc Dupuy and
Thomas Opitz Spatiotemporal wildfire modeling through
point processes with moderate and
extreme marks . . . . . . . . . . . . . 560--582
Bohai Zhang and
Huiyan Sang and
Zhao Tang Luo and
Hui Huang Bayesian clustering of spatial
functional data with application to a
human mobility study during COVID-19 . . 583--605
Jesus Lopez-Fidalgo and
Caterina May and
Jose Antonio Moler Designing experiments for estimating an
appropriate outlet size for a silo type
problem . . . . . . . . . . . . . . . . 606--620
John A. Pura and
Xuechan Li and
Cliburn Chan and
Jichun Xie TEAM: a multiple testing algorithm on
the aggregation tree for flow cytometry
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Philip B. Stark ALPHA: Audit that learns from previously
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Corban Allenbrand and
Ben Sherwood Model selection uncertainty and
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Demetrios Papakostas and
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Jared Murray and
Frank Zhou and
Joseph Gerakos Do forecasts of bankruptcy cause
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Joshua Hewitt and
Alan E. Gelfand and
Robert S. Schick Time-discretization approximation
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Arun K. Kuchibhotla and
Richard A. Berk Nested conformal prediction sets for
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Wagner Meira, Jr. and
Danna Cruz-Reyes Handling categorical features with many
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Rui Duan and
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Mary Sammel and
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Pauline Puech Many-to-One indirect sampling with
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Wenyu Zhang and
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David S. Matteson Modeling a nonlinear biophysical trend
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Shikun Wang and
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Ya-Chen Tina Shih and
Yu Shen and
Liang Li An extension of estimating equations to
model longitudinal medical cost
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Luke J. Keele and
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Avi Feller and
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Luke Miratrix Hospital quality risk standardization
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Eli Ben-Michael and
David Arbour and
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Alexander Franks and
Steven Raphael Estimating the effects of a California
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Tingting Yu and
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Chelsea Krantsevich and
P. Richard Hahn and
Yi Zheng and
Charles Katz Bayesian decision theory for tree-based
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Alexander Wolfgang Jung and
Moritz Gerstung Bayesian Cox regression for large-scale
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Paul Freulon and
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Boris P. Hejblum CytOpT: Optimal transport with domain
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Amy M. Crawford and
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Chaeryon Kang and
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Christian Rohrbeck and
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Victoria Knutson and
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Jon Wakefield Estimating global and country-specific
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Luke J. Kelly and
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Andrea Sottosanti and
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Max Rubinstein and
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Sarah B. Peskoe and
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Luke J. Keele The risk of maternal complications after
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Jung Yeon Won and
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Clara Hoffmann and
Nadja Klein Marginally calibrated response
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Anonymous Table of Contents . . . . . . . . . . . ??
Anonymous Editorial Board . . . . . . . . . . . . ??
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Ben Dai and
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Grace Rhodes and
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Jiming Jiang and
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Yura Kim and
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Olha Bodnar and
Viktor Eriksson Bayesian model selection: Application to
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Chul Moon and
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Guanghua Xiao Using persistent homology topological
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Roberta De Vito and
Lorenzo Trippa and
Giovanni Parmigiani Bayesian combinatorial MultiStudy factor
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Hajo Holzmann and
Bernhard Klar Using proxies to improve forecast
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Maria De Iorio and
Stefano Favaro and
Alessandra Guglielmi and
Lifeng Ye Bayesian nonparametric mixture modeling
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George Michailidis The Bayesian nested lasso for mixed
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Jorge Castillo-Mateo and
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Genevera I. Allen Subbotin graphical models for extreme
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Larry Dong and
Erica E. M. Moodie and
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Rodolphe Thiébaut Evaluating the use of generalized
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Loris Michel and
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an application to an Alzheimer's
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Rebecca Anthopolos and
Qixuan Chen and
Joseph Sedransk and
Mary Thompson and
Gang Meng and
Sandro Galea A Bayesian growth mixture model for
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Le Bao and
Xiaoyue Niu and
Mary Mahy and
Peter D. Ghys Estimating HIV epidemics for subnational
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Trambak Banerjee and
Peng Liu and
Gourab Mukherjee and
Shantanu Dutta and
Hai Che Joint modeling of playing time and
purchase propensity in massively
multiplayer online role-playing games
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Thi Kim Hue Nguyen and
Koen van den Berge and
Monica Chiogna and
Davide Risso Structure learning for zero-inflated
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single-cell RNA sequencing data . . . . 2555--2573
Haotian Zou and
Donglin Zeng and
Luo Xiao and
Sheng Luo Bayesian inference and dynamic
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Damien C. H. Wee and
Feng Chen and
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Theodore Huang and
Matthew Ploenzke and
Danielle Braun SNIP: An adaptation of sorted
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Francesco Denti and
Ricardo Azevedo and
Chelsie Lo and
Damian G. Wheeler and
Sunil P. Gandhi and
Michele Guindani and
Babak Shahbaba A horseshoe mixture model for Bayesian
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Colman Humphrey and
Ryan Gross and
Dylan S. Small and
Shane T. Jensen Using predictability to improve matching
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Suvra Pal and
Wisdom Aselisewine A semiparametric promotion time cure
model with support vector machine . . . 2680--2699
Matthias Schmid Corrigendum: Modeling biomarker ratios
with gamma distributed components . . . 2700--2700