Last update:
Thu Nov 9 09:31:36 MST 2023
Jin-Ting Zhang Approximate and Asymptotic Distributions
of Chi-Squared-Type Mixtures With
Applications . . . . . . . . . . . . . . 273--285
Sally C. Morton Statistics: From Evidence to Policy . . 1--5
Jay M. Ver Hoef and
Erin E. Peterson A Moving Average Approach for Spatial
Statistical Models of Stream Networks 6--18
Noel Cressie and
David O'Donnell Comment: Statistical Dependence in
Stream Networks . . . . . . . . . . . . 18--21
Sujit K. Sahu Comment: Comment: Statistical Dependence
in Stream Networks . . . . . . . . . . . 21--22
Jay M. Ver Hoef and
Erin E. Peterson Rejoinder: Comment: Statistical
Dependence in Stream Networks . . . . . 22--24
J. McLean Sloughter and
Tilmann Gneiting and
Adrian E. Raftery Probabilistic Wind Speed Forecasting
Using Ensembles and Bayesian Model
Averaging . . . . . . . . . . . . . . . 25--35
Kingshuk Roy Choudhury and
Finbarr O'Sullivan and
Mayukh Samanta and
Guillemette Caulliez and
Victor Shrira Regularized Reconstruction of Wave
Height and Slope Fields From Refracted
Images of Water . . . . . . . . . . . . 36--47
Michael J. Racz and
J. Sedransk Bayesian and Frequentist Methods for
Provider Profiling Using Risk-Adjusted
Assessments of Medical Outcomes . . . . 48--58
Tyler H. McCormick and
Matthew J. Salganik and
Tian Zheng How Many People Do You Know?:
Efficiently Estimating Personal Network
Size . . . . . . . . . . . . . . . . . . 59--70
Michael Peress and
Arthur Spirling Scaling the Critics: Uncovering the
Latent Dimensions of Movie Criticism
With an Item Response Approach . . . . . 71--83
Adam N. Glynn and
Thomas S. Richardson and
Mark S. Handcock Resolving Contested Elections: The
Limited Power of Post-Vote Vote-Choice
Data . . . . . . . . . . . . . . . . . . 84--91
Amanda S. Hering and
Marc G. Genton Powering Up With Space-Time Wind
Forecasting . . . . . . . . . . . . . . 92--104
Song Xi Chen and
Cheng Yong Tang and
Vincent T. Mule, Jr. Local Post-Stratification in Dual System
Accuracy and Coverage Evaluation for the
U.S. Census . . . . . . . . . . . . . . 105--119
Balgobin Nandram and
Jai Won Choi A Bayesian Analysis of Body Mass Index
Data From Small Domains Under
Nonignorable Nonresponse and Selection 120--135
Fadoua Balabdaoui and
Kathrin Bissantz and
Nicolai Bissantz and
Hajo Holzmann Demonstrating Single and Multiple
Currents Through the \em E.
coli-SecYEG-Pore: Testing for the Number
of Modes of Noisy Observations . . . . . 136--146
Andrea Cerioli Multivariate Outlier Detection With
High-Breakdown Estimators . . . . . . . 147--156
Zhiqiang Tan Marginal and Nested Structural Models
Using Instrumental Variables . . . . . . 157--169
Shinsuke Koyama and
Lucia Castellanos Pérez-Bolde and
Cosma Rohilla Shalizi and
Robert E. Kass Approximate Methods for State-Space
Models . . . . . . . . . . . . . . . . . 170--180
Chenlei Leng and
Weiping Zhang and
Jianxin Pan Semiparametric Mean--Covariance
Regression Analysis for Longitudinal
Data . . . . . . . . . . . . . . . . . . 181--193
Annie Qu and
Bruce G. Lindsay and
Lin Lu Highly Efficient Aggregate Unbiased
Estimating Functions Approach for
Correlated Data With Missing at Random 194--204
Hemant Ishwaran and
Udaya B. Kogalur and
Eiran Z. Gorodeski and
Andy J. Minn and
Michael S. Lauer High-Dimensional Variable Selection for
Survival Data . . . . . . . . . . . . . 205--217
Xiaofeng Shao The Dependent Wild Bootstrap . . . . . . 218--235
Mevin B. Hooten and
Christopher K. Wikle Statistical Agent-Based Models for
Discrete Spatio-Temporal Systems . . . . 236--248
Shogo Kato and
M. C. Jones A Family of Distributions on the Circle
With Links to, and Applications Arising
From, Möbius Transformation . . . . . . . 249--262
S. A. Padoan and
M. Ribatet and
S. A. Sisson Likelihood-Based Inference for
Max-Stable Processes . . . . . . . . . . 263--277
Yingcun Xia and
Dixin Zhang and
Jinfeng Xu Dimension Reduction and Semiparametric
Estimation of Survival Models . . . . . 278--290
Ronald Christensen and
Siu Kei Sun Alternative Goodness-of-Fit Tests for
Linear Models . . . . . . . . . . . . . 291--301
Meng Mao and
Jane-Ling Wang Semiparametric Efficient Estimation for
a Class of Generalized Proportional Odds
Cure Models . . . . . . . . . . . . . . 302--311
Yiyun Zhang and
Runze Li and
Chih-Ling Tsai Regularization Parameter Selections via
Generalized Information Criterion . . . 312--323
Michael Braun and
Jon McAuliffe Variational Inference for Large-Scale
Models of Discrete Choice . . . . . . . 324--335
Baojiang Chen and
Grace Y. Yi and
Richard J. Cook Weighted Generalized Estimating
Functions for Longitudinal Response and
Covariate Data That Are Missing at
Random . . . . . . . . . . . . . . . . . 336--353
Nam Hee Choi and
William Li and
Ji Zhu Variable Selection With the Strong
Heredity Constraint and Its Oracle
Property . . . . . . . . . . . . . . . . 354--364
J. Cao and
J. O. Ramsay Linear Mixed-Effects Modeling by
Parameter Cascading . . . . . . . . . . 365--374
Larry Wasserman and
Shuheng Zhou A Statistical Framework for Differential
Privacy . . . . . . . . . . . . . . . . 375--389
Lan Zhou and
Jianhua Z. Huang and
Josue G. Martinez and
Arnab Maity and
Veerabhadran Baladandayuthapani and
Raymond J. Carroll Reduced Rank Mixed Effects Models for
Spatially Correlated Hierarchical
Functional Data . . . . . . . . . . . . 390--400
Xingye Qiao and
Hao Helen Zhang and
Yufeng Liu and
Michael J. Todd and
J. S. Marron Weighted Distance Weighted
Discrimination and Its Asymptotic
Properties . . . . . . . . . . . . . . . 401--414
Olga Y. Savchuk and
Jeffrey D. Hart and
Simon J. Sheather Indirect Cross-Validation for Density
Estimation . . . . . . . . . . . . . . . 415--423
Yichao Wu and
Hao Helen Zhang and
Yufeng Liu Robust Model-Free Multiclass Probability
Estimation . . . . . . . . . . . . . . . 424--436
Anonymous Book Reviews . . . . . . . . . . . . . . 437--445
Arthur Spirling and
Kevin Quinn Identifying Intraparty Voting Blocs in
the U.K. House of Commons . . . . . . . 447--457
Lu Ren and
David Dunson and
Scott Lindroth and
Lawrence Carin Dynamic Nonparametric Bayesian Models
for Analysis of Music . . . . . . . . . 458--472
Heping Zhang and
Ching-Ti Liu and
Xueqin Wang An Association Test for Multiple Traits
Based on the Generalized Kendall's Tau 473--481
Duncan K. H. Fong and
Wayne S. DeSarbo and
Joonwook Park and
Crystal J. Scott A Bayesian Vector Multidimensional
Scaling Procedure for the Analysis of
Ordered Preference Data . . . . . . . . 482--492
Alberto Abadie and
Alexis Diamond and
Jens Hainmueller Synthetic Control Methods for
Comparative Case Studies: Estimating the
Effect of California's Tobacco Control
Program . . . . . . . . . . . . . . . . 493--505
Sudipto Banerjee and
Andrew O. Finley and
Patrik Waldmann and
Tore Ericsson Hierarchical Spatial Process Models for
Multiple Traits in Large Genetic Trials 506--521
Veronica J. Berrocal and
Adrian E. Raftery and
Tilmann Gneiting and
Richard C. Steed Probabilistic Weather Forecasting for
Winter Road Maintenance . . . . . . . . 522--537
Sujit K. Ghosh and
Prakash V. Bhave and
Jerry M. Davis and
Hyeyoung Lee Spatio-Temporal Analysis of Total
Nitrate Concentrations Using Dynamic
Statistical Models . . . . . . . . . . . 538--551
Hormuzd A. Katki and
Christopher L. Sanders and
Barry I. Graubard and
Andrew W. Bergen Using DNA Fingerprints to Infer Familial
Relationships Within NHANES III
Households . . . . . . . . . . . . . . . 552--563
Scott H. Holan and
Daniell Toth and
Marco A. R. Ferreira and
Alan F. Karr Bayesian Multiscale Multiple Imputation
With Implications for Data
Confidentiality . . . . . . . . . . . . 564--577
Aiyi Liu and
Qizhai Li and
Chunling Liu and
Kai Yu and
Kai F. Yu A Rank-Based Test for Comparison of
Multidimensional Outcomes . . . . . . . 578--587
Armin Schwartzman and
Robert F. Dougherty and
Jonathan E. Taylor Group Comparison of Eigenvalues and
Eigenvectors of Diffusion Tensors . . . 588--599
Kwang Woo Ahn and
Kung-Sik Chan and
Ying Bai and
Michael Kosoy Bayesian Inference With Incomplete
Multinomial Data: a Problem in Pathogen
Diversity . . . . . . . . . . . . . . . 600--611
Chun Li and
Bryan E. Shepherd Test of Association Between Two Ordinal
Variables While Adjusting for Covariates 612--620
Yehua Li and
Naisyin Wang and
Raymond J. Carroll Generalized Functional Linear Models
With Semiparametric Single-Index
Interactions . . . . . . . . . . . . . . 621--633
Jean-Marc Freyermuth and
Hernando Ombao and
Rainer von Sachs Tree-Structured Wavelet Estimation in a
Mixed Effects Model for Spectra of
Replicated Time Series . . . . . . . . . 634--646
Abel Rodríguez and
David B. Dunson and
Alan E. Gelfand Latent Stick-Breaking Processes . . . . 647--659
Werner Brannath and
Frank Bretz Shortcuts for Locally Consonant Closed
Test Procedures . . . . . . . . . . . . 660--669
Victor M. Panaretos and
David Kraus and
John H. Maddocks Second-Order Comparison of Gaussian
Random Functions and the Geometry of DNA
Minicircles . . . . . . . . . . . . . . 670--682
Wenbin Lu and
Hao Helen Zhang On Estimation of Partially Linear
Transformation Models . . . . . . . . . 683--691
Paul R. Rosenbaum Design Sensitivity and Efficiency in
Observational Studies . . . . . . . . . 692--702
Davide La Vecchia and
Fabio Trojani Infinitesimal Robustness for Diffusions 703--712
Daniela M. Witten and
Robert Tibshirani A Framework for Feature Selection in
Clustering . . . . . . . . . . . . . . . 713--726
Xiaotong Shen and
Hsin-Cheng Huang Grouping Pursuit Through a
Regularization Solution Surface . . . . 727--739
Philip E. Cheng and
Michelle Liou and
John A. D. Aston Likelihood Ratio Tests With Three-Way
Tables . . . . . . . . . . . . . . . . . 740--749
Kani Chen and
Shaojun Guo and
Liuquan Sun and
Jane-Ling Wang Global Partial Likelihood for
Nonparametric Proportional Hazards
Models . . . . . . . . . . . . . . . . . 750--760
Sam Efromovich Dimension Reduction and Adaptation in
Conditional Density Estimation . . . . . 761--774
Subharup Guha Posterior Simulation in Countable
Mixture Models for Large Datasets . . . 775--786
Nilanjan Chatterjee and
Yan Li Inference in Semiparametric Regression
Models Under Partial Questionnaire
Design and Nonmonotone Missing Data . . 787--797
Yao-ban Chan and
Peter Hall Using Evidence of Mixed Populations to
Select Variables for Clustering Very
High-Dimensional Data . . . . . . . . . 798--809
Song Xi Chen and
Li-Xin Zhang and
Ping-Shou Zhong Tests for High-Dimensional Covariance
Matrices . . . . . . . . . . . . . . . . 810--819
Ming Lin and
Rong Chen and
Per Mykland On Generating Monte Carlo Samples of
Continuous Diffusion Bridges . . . . . . 820--838
Efstathios Paparoditis Validating Stationarity Assumptions in
Time Series Analysis by Rolling Local
Periodograms . . . . . . . . . . . . . . 839--851
Tatyana Krivobokova and
Thomas Kneib and
Gerda Claeskens Simultaneous Confidence Bands for
Penalized Spline Estimators . . . . . . 852--863
Jaakko Nevalainen and
Denis Larocque and
Hannu Oja and
Ilkka Pörsti Nonparametric Analysis of Clustered
Multivariate Data . . . . . . . . . . . 864--872
Anonymous Book Reviews . . . . . . . . . . . . . . 873--879
Anonymous Letters to the Editor . . . . . . . . . 880--881
Anonymous Correction . . . . . . . . . . . . . . . 882--882
Bo Li and
Douglas W. Nychka and
Caspar M. Ammann The Value of Multiproxy Reconstruction
of Past Climate . . . . . . . . . . . . 883--895
Noel Cressie and
Martin P. Tingley Comment: ``Hierarchical Statistical
Modeling for Paleoclimate
Reconstruction'' . . . . . . . . . . . . 895--900
Eugene Wahl and
Christian Schoelzel and
John Williams and
Seyitriza Tigrek Comment: ``Comment: Hierarchical
Statistical Modeling for Paleoclimate
Reconstruction'' . . . . . . . . . . . . 900--905
Richard L. Smith Comment: ``Comment: Hierarchical
Statistical Modeling for Paleoclimate
Reconstruction'' . . . . . . . . . . . . 905--910
Bo Li and
Douglas W. Nychka and
Caspar M. Ammann Rejoinder: ``Comment: Hierarchical
Statistical Modeling for Paleoclimate
Reconstruction'' . . . . . . . . . . . . 910--911
Keunbaik Lee and
Michael J. Daniels and
Daniel J. Sargent Causal Effects of Treatments for
Informative Missing Data due to
Progression/Death . . . . . . . . . . . 912--929
Hyokyoung Grace Hong and
Xuming He Prediction of Functional Status for the
Elderly Based on a New Ordinal
Regression Model . . . . . . . . . . . . 930--941
Christopher R. Bilder and
Joshua M. Tebbs and
Peng Chen Informative Retesting . . . . . . . . . 942--955
Soma S. Dhavala and
Sujay Datta and
Bani K. Mallick and
Raymond J. Carroll and
Sangeeta Khare and
Sara D. Lawhon and
L. Garry Adams Bayesian Modeling of MPSS Data: Gene
Expression Analysis of Bovine Salmonella
Infection . . . . . . . . . . . . . . . 956--967
Thaddeus Tarpey and
Eva Petkova and
Yimeng Lu and
Usha Govindarajulu Optimal Partitioning for Linear Mixed
Effects Models: Applications to
Identifying Placebo Responders . . . . . 968--977
Jonathan R. Stroud and
Michael L. Stein and
Barry M. Lesht and
David J. Schwab and
Dmitry Beletsky An Ensemble Kalman Filter and Smoother
for Satellite Data Assimilation . . . . 978--990
Li-Shan Huang and
Philip W. Davidson Analysis of Variance and $F$-Tests for
Partial Linear Models With Applications
to Environmental Health Data . . . . . . 991--1004
Ruth Heller and
Shane T. Jensen and
Paul R. Rosenbaum and
Dylan S. Small Sensitivity Analysis for the Cross-Match
Test, With Applications in Genomics . . 1005--1013
Markus Frölich and
Michael Lechner Exploiting Regional Treatment Intensity
for the Evaluation of Labor Market
Policies . . . . . . . . . . . . . . . . 1014--1029
Ben Haaland and
Wanli Min and
Peter Z. G. Qian and
Yasuo Amemiya A Statistical Approach to Thermal
Management of Data Centers Under Steady
State and System Perturbations . . . . . 1030--1041
Bradley Efron Correlated $z$-Values and the Accuracy
of Large-Scale Statistical Estimates . . 1042--1055
T. Tony Cai Comment: ``Correlated $z$-Values and the
Accuracy of Large-Scale Statistical
Estimates'' . . . . . . . . . . . . . . 1055--1056
Ruth Heller Comment: ``Correlated $z$-Values and the
Accuracy of Large-Scale Statistical
Estimates'' . . . . . . . . . . . . . . 1057--1059
Armin Schwartzman Comment: ``Correlated $z$-Values and the
Accuracy of Large-Scale Statistical
Estimates'' . . . . . . . . . . . . . . 1059--1063
Peter H. Westfall Comment: ``Correlated $z$-Values and the
Accuracy of Large-Scale Statistical
Estimates'' . . . . . . . . . . . . . . 1063--1066
Bradley Efron Rejoinder: ``Correlated $z$-Values and
the Accuracy of Large-Scale Statistical
Estimates'' . . . . . . . . . . . . . . 1067--1069
Matias D. Cattaneo and
Richard K. Crump and
Michael Jansson Robust Data-Driven Inference for
Density-Weighted Average Derivatives . . 1070--1083
Pengfei Li and
Jiahua Chen Testing the Order of a Finite Mixture 1084--1092
Anatoly Zhigljavsky and
Holger Dette and
Andrey Pepelyshev A New Approach to Optimal Design for
Linear Models With Correlated
Observations . . . . . . . . . . . . . . 1093--1103
Kani Chen and
Shaojun Guo and
Yuanyuan Lin and
Zhiliang Ying Least Absolute Relative Error Estimation 1104--1112
Robertas Gabrys and
Lajos Horváth and
Piotr Kokoszka Tests for Error Correlation in the
Functional Linear Model . . . . . . . . 1113--1125
David Conne and
Elvezio Ronchetti and
Maria-Pia Victoria-Feser Goodness of Fit for Generalized Linear
Latent Variables Models . . . . . . . . 1126--1134
Lu Wang and
Andrea Rotnitzky and
Xihong Lin Nonparametric Regression With Missing
Outcomes Using Weighted Kernel
Estimating Equations . . . . . . . . . . 1135--1146
Peter Z. G. Qian and
Mingyao Ai Nested Lattice Sampling: a New Sampling
Scheme Derived by Randomizing Nested
Orthogonal Arrays . . . . . . . . . . . 1147--1155
X. Jessie Jeng and
T. Tony Cai and
Hongzhe Li Optimal Sparse Segment Identification
With Application in Copy Number
Variation Analysis . . . . . . . . . . . 1156--1166
Tilmann Gneiting and
William Kleiber and
Martin Schlather Matérn Cross-Covariance Functions for
Multivariate Random Fields . . . . . . . 1167--1177
Michael G. B. Blum Approximate Bayesian Computation: a
Nonparametric Perspective . . . . . . . 1178--1187
Lexin Li and
Bing Li and
Li-Xing Zhu Groupwise Dimension Reduction . . . . . 1188--1201
Fan Li and
Nancy R. Zhang Bayesian Variable Selection in
Structured High-Dimensional Covariate
Spaces With Applications in Genomics . . 1202--1214
James X. Hu and
Hongyu Zhao and
Harrison H. Zhou False Discovery Rate Control With Groups 1215--1227
Xiaofeng Shao and
Xianyang Zhang Testing for Change Points in Time Series 1228--1240
Ann B. Lee and
Larry Wasserman Spectral Connectivity Analysis . . . . . 1241--1255
Damla \cSentürk and
Hans-Georg Müller Functional Varying Coefficient Models
for Longitudinal Data . . . . . . . . . 1256--1264
Phillip S. Kott and
Ted Chang Using Calibration Weighting to Adjust
for Nonignorable Unit Nonresponse . . . 1265--1275
Anonymous Book Reviews . . . . . . . . . . . . . . 1276--1283
Mike Baiocchi and
Dylan S. Small and
Scott Lorch and
Paul R. Rosenbaum Building a Stronger Instrument in an
Observational Study of Perinatal Care
for Premature Infants . . . . . . . . . 1285--1296
Rong Chen and
Re-Jin Guo and
Ming Lin Self-Selectivity in Firm's Decision to
Withdraw IPO: Bayesian Inference for
Hazard Models of Bankruptcy With
Feedback . . . . . . . . . . . . . . . . 1297--1309
Yang Yang and
M. Elizabeth Halloran and
Michael J. Daniels and
Ira M. Longini, Jr. and
Donald S. Burke and
Derek A. T. Cummings Modeling Competing Infectious Pathogens
From a Bayesian Perspective: Application
to Influenza Studies With Incomplete
Laboratory Results . . . . . . . . . . . 1310--1322
Fan Li and
Alan M. Zaslavsky Using a Short Screening Scale for
Small-Area Estimation of Mental Illness
Prevalence for Schools . . . . . . . . . 1323--1332
C. Wang and
M. J. Daniels and
D. O. Scharfstein and
S. Land A Bayesian Shrinkage Model for
Incomplete Longitudinal Binary Data With
Application to the Breast Cancer
Prevention Trial . . . . . . . . . . . . 1333--1346
Jörg Drechsler and
Jerome P. Reiter Sampling With Synthesis: a New Approach
for Releasing Public Use Census
Microdata . . . . . . . . . . . . . . . 1347--1357
Veerabhadran Baladandayuthapani and
Yuan Ji and
Rajesh Talluri and
Luis E. Nieto-Barajas and
Jeffrey S. Morris Bayesian Random Segmentation Models to
Identify Shared Copy Number Aberrations
for Array CGH Data . . . . . . . . . . . 1358--1375
Ying Chen and
Wolfgang Karl Härdle and
Uta Pigorsch Localized Realized Volatility Modeling 1376--1393
Peter J. Diggle and
Yongtao Guan and
Anthony C. Hart and
Fauzia Paize and
Michelle Stanton Estimating Individual-Level Risk in
Spatial Epidemiology Using Spatially
Aggregated Information on the Population
at Risk . . . . . . . . . . . . . . . . 1394--1402
Matthew A. Taddy Autoregressive Mixture Models for
Dynamic Spatial Poisson Processes:
Application to Tracking Intensity of
Violent Crime . . . . . . . . . . . . . 1403--1417
Michael Peress Correcting for Survey Nonresponse Using
Variable Response Propensity . . . . . . 1418--1430
Ross L. Prentice Chronic Disease Prevention Research
Methods and Their Reliability, With
Illustrations From the Women's Health
Initiative . . . . . . . . . . . . . . . 1431--1443
Kun Liang and
Dan Nettleton A Hidden Markov Model Approach to
Testing Multiple Hypotheses on a
Tree-Transformed Gene Ontology Graph . . 1444--1454
Li-Ping Zhu and
Li-Xing Zhu and
Zheng-Hui Feng Dimension Reduction in Regressions
Through Cumulative Slicing Estimation 1455--1466
Michael Smith and
Aleksey Min and
Carlos Almeida and
Claudia Czado Modeling Longitudinal Data Using a
Pair-Copula Decomposition of Serial
Dependence . . . . . . . . . . . . . . . 1467--1479
Z. Harchaoui and
C. Lévy-Leduc Multiple Change-Point Estimation With a
Total Variation Penalty . . . . . . . . 1480--1493
J. N. K. Rao and
Changbao Wu Pseudo--Empirical Likelihood Inference
for Multiple Frame Surveys . . . . . . . 1494--1503
Yacine A\"\it-Sahalia and
Jianqing Fan and
Dacheng Xiu High-Frequency Covariance Estimates With
Noisy and Asynchronous Financial Data 1504--1517
Lan Xue and
Annie Qu and
Jianhui Zhou Consistent Model Selection for Marginal
Generalized Additive Model for
Correlated Data . . . . . . . . . . . . 1518--1530
Xin Gao and
Peter X.-K. Song Composite Likelihood Bayesian
Information Criteria for Model Selection
in High-Dimensional Data . . . . . . . . 1531--1540
Peter Radchenko and
Gareth M. James Variable Selection Using Adaptive
Nonlinear Interaction Structures in High
Dimensions . . . . . . . . . . . . . . . 1541--1553
Sophie Dabo-Niang and
Christian Francq and
Jean-Michel Zako\"\ian Combining Nonparametric and Optimal
Linear Time Series Predictions . . . . . 1554--1565
John P. Morgan and
Xiaowei Wang Weighted Optimality in Designed
Experimentation . . . . . . . . . . . . 1566--1580
A. S. Hedayat and
Wei Zheng Optimal and Efficient Crossover Designs
for Test-Control Study When Subject
Effects Are Random . . . . . . . . . . . 1581--1592
Henghsiu Tsai and
Ruey S. Tsay Constrained Factor Models . . . . . . . 1593--1605
C. A. Field and
Zhen Pang and
A. H. Welsh Bootstrapping Robust Estimates for
Clustered Data . . . . . . . . . . . . . 1606--1616
Subhash R. Lele and
Khurram Nadeem and
Byron Schmuland Estimability and Likelihood Inference
for Generalized Linear Mixed Models
Using Data Cloning . . . . . . . . . . . 1617--1625
Anonymous Book Reviews . . . . . . . . . . . . . . 1626--1631
Anonymous Letters to the Editor . . . . . . . . . 1632--1635
Hua Liang and
Hulin Wu Correction . . . . . . . . . . . . . . . 1636--1636
Daniela Witten and
Robert Tibshirani Correction . . . . . . . . . . . . . . . 1637--1637
Anonymous 2010 Editorial Collaborators . . . . . . 1638--1643
Anonymous Index to Volume 105 (2010) . . . . . . . 1644--1651
Sastry G. Pantula Statistics: a Key to Innovation in a
Data-Centric World! . . . . . . . . . . 1--5
Brian J. Reich and
Montserrat Fuentes and
David B. Dunson Bayesian Spatial Quantile Regression . . 6--20
Paul Kidwell and
Guy Lebanon and
Kevyn Collins-Thompson Statistical Estimation of Word
Acquisition With Application to
Readability Prediction . . . . . . . . . 21--30
Andrew O. Finley and
Sudipto Banerjee and
David W. MacFarlane A Hierarchical Model for Quantifying
Forest Variables Over Large
Heterogeneous Landscapes With Uncertain
Forest Areas . . . . . . . . . . . . . . 31--48
Dawn B. Woodard and
Moises Goldszmidt Online Model-Based Clustering for Crisis
Identification in Distributed Computing 49--60
Guanghua Xiao and
Xinlei Wang and
Arkady B. Khodursky Modeling Three-Dimensional Chromosome
Structures Using Gene Expression Data 61--72
Wenguang Sun and
Zhi Wei Multiple Testing for Pattern
Identification, With Applications to
Microarray Time-Course Experiments . . . 73--88
Michael W. Robbins and
Robert B. Lund and
Colin M. Gallagher and
QiQi Lu Changepoints in the North Atlantic
Tropical Cyclone Record . . . . . . . . 89--99
G. O. Mohler and
M. B. Short and
P. J. Brantingham and
F. P. Schoenberg and
G. E. Tita Self-Exciting Point Process Modeling of
Crime . . . . . . . . . . . . . . . . . 100--108
Matthew A. Taddy and
Robert B. Gramacy and
Nicholas G. Polson Dynamic Trees for Learning and Design 109--123
Jian Kang and
Timothy D. Johnson and
Thomas E. Nichols and
Tor D. Wager Meta Analysis of Functional Neuroimaging
Data via Bayesian Spatial Point
Processes . . . . . . . . . . . . . . . 124--134
Krista J. Gile Improved Inference for Respondent-Driven
Sampling Data With Application to HIV
Prevalence Estimation . . . . . . . . . 135--146
Yanyuan Ma and
Elvezio Ronchetti Saddlepoint Test in Measurement Error
Models . . . . . . . . . . . . . . . . . 147--156
Jae Kwang Kim and
Cindy Long Yu A Semiparametric Estimation of Mean
Functionals With Nonignorable Missing
Data . . . . . . . . . . . . . . . . . . 157--165
Yufeng Liu and
Hao Helen Zhang and
Yichao Wu Hard or Soft Classification?
Large-Margin Unified Machines . . . . . 166--177
Nivedita V. Nadkarni and
Yingqi Zhao and
Michael R. Kosorok Inverse Regression Estimation for
Censored Data . . . . . . . . . . . . . 178--190
Raymond J. Carroll and
Aurore Delaigle and
Peter Hall Testing and Estimating Shape-Constrained
Nonparametric Density and Regression in
the Presence of Measurement Error . . . 191--202
Debbie J. Dupuis and
Maria-Pia Victoria-Feser Fast Robust Model Selection in Large
Datasets . . . . . . . . . . . . . . . . 203--212
Ying Hung Adaptive Probability-Based Latin
Hypercube Designs . . . . . . . . . . . 213--219
Sokbae Lee and
Myung Hwan Seo and
Youngki Shin Testing for Threshold Effects in
Regression Models . . . . . . . . . . . 220--231
Dongyu Lin and
Dean P. Foster and
Lyle H. Ungar VIF Regression: a Fast Regression
Algorithm for Large Data . . . . . . . . 232--247
Mark Culp On Propagated Scoring for Semisupervised
Additive Models . . . . . . . . . . . . 248--259
Ping-Shou Zhong and
Song Xi Chen Tests for High-Dimensional Regression
Coefficients With Factorial Designs . . 260--274
Kun Chen and
Kehui Chen and
Hans-Georg Müller and
Jane-Ling Wang Stringing High-Dimensional Data for
Functional Analysis . . . . . . . . . . 275--284
Paul R. Rosenbaum Some Approximate Evidence Factors in
Observational Studies . . . . . . . . . 285--295
Julian Wolfson EEBoost: a General Method for Prediction
and Variable Selection Based on
Estimating Equations . . . . . . . . . . 296--305
Sam Efromovich Nonparametric Regression With Predictors
Missing at Random . . . . . . . . . . . 306--319
Minge Xie and
Kesar Singh and
William E. Strawderman Confidence Distributions and a Unifying
Framework for Meta-Analysis . . . . . . 320--333
Robert L. Paige and
Phillip L. Chapman and
Ronald W. Butler Small Sample LD50 Confidence Intervals
Using Saddlepoint Approximations . . . . 334--344
Stefano M. Iacus and
Gary King and
Giuseppe Porro Multivariate Matching Methods That Are
Monotonic Imbalance Bounding . . . . . . 345--361
Gauri S. Datta and
Peter Hall and
Abhyuday Mandal Model Selection by Testing for the
Presence of Small-Area Effects, and
Application to Area-Level Data . . . . . 362--374
Anonymous Book Reviews . . . . . . . . . . . . . . 375--382
Anonymous Letter to the Editor . . . . . . . . . . 383--383
Anonymous Correction . . . . . . . . . . . . . . . 384--384
Anonymous Correction . . . . . . . . . . . . . . . 385--385
Alejandro Cruz-Marcelo and
Katherine B. Ensor and
Gary L. Rosner Estimating the Term Structure With a
Semiparametric Bayesian Hierarchical
Model: An Application to Corporate Bonds 387--395
Sonja Greven and
Francesca Dominici and
Scott Zeger An Approach to the Estimation of Chronic
Air Pollution Effects Using
Spatio-Temporal Information . . . . . . 396--406
Kosuke Imai Multivariate Regression Analysis for the
Item Count Technique . . . . . . . . . . 407--416
C. Paddy Farrington and
Karim Anaya-Izquierdo and
Heather J. Whitaker and
Mounia N. Hocine and
Ian Douglas and
Liam Smeeth Self-Controlled Case Series Analysis
With Event-Dependent Observation Periods 417--426
Daniel Zantedeschi and
Paul Damien and
Nicholas G. Polson Predictive Macro-Finance With Dynamic
Partition Models . . . . . . . . . . . . 427--439
Anindya Bhadra and
Edward L. Ionides and
Karina Laneri and
Mercedes Pascual and
Menno Bouma and
Ramesh C. Dhiman Malaria in Northwest India: Data
Analysis via Partially Observed
Stochastic Differential Equation Models
Driven by Lévy Noise . . . . . . . . . . 440--451
Jan R. Magnus and
Bertrand Melenberg and
Chris Muris Global Warming and Local Dimming: The
Statistical Evidence . . . . . . . . . . 452--464
Jan R. Magnus and
Bertrand Melenberg and
Chris Muris Rejoinder: Global Warming and Local
Dimming: The Statistical Evidence . . . 457--468
T. Storelvmo and
T. Leirvik Comment: ``Global Warming and Local
Dimming: The Statistical Evidence'' . . 465--467
Francesco Bartolucci and
Leonardo Grilli Modeling Partial Compliance Through
Copulas in a Principal Stratification
Framework . . . . . . . . . . . . . . . 469--479
Yongtao Guan and
Yehua Li and
Rajita Sinha Cocaine Dependence Treatment Data:
Methods for Measurement Error Problems
With Predictors Derived From Stationary
Stochastic Processes . . . . . . . . . . 480--493
Nora Fenske and
Thomas Kneib and
Torsten Hothorn Identifying Risk Factors for Severe
Childhood Malnutrition by Boosting
Additive Quantile Regression . . . . . . 494--510
Kai Zhang and
Dylan S. Small and
Scott Lorch and
Sindhu Srinivas and
Paul R. Rosenbaum Using Split Samples and Evidence Factors
in an Observational Study of Neonatal
Outcomes . . . . . . . . . . . . . . . . 511--524
Bret Hanlon and
Anand N. Vidyashankar Inference for Quantitation Parameters in
Polymerase Chain Reactions via Branching
Processes With Random Effects . . . . . 525--533
Erika Antal and
Yves Tillé A Direct Bootstrap Method for Complex
Sampling Designs From a Finite
Population . . . . . . . . . . . . . . . 534--543
Jianqing Fan and
Yang Feng and
Rui Song Nonparametric Independence Screening in
Sparse Ultra-High-Dimensional Additive
Models . . . . . . . . . . . . . . . . . 544--557
Bing-Yi Jing and
Xin-Bing Kong and
Zhi Liu Estimating the Jump Activity Index Under
Noisy Observations Using High-Frequency
Data . . . . . . . . . . . . . . . . . . 558--568
Tianxi Cai and
Yingye Zheng Nonparametric Evaluation of Biomarker
Accuracy Under Nested Case-Control
Studies . . . . . . . . . . . . . . . . 569--580
Tracy L. Nolen and
Michael G. Hudgens Randomization-Based Inference Within
Principal Strata . . . . . . . . . . . . 581--593
Tony Cai and
Weidong Liu and
Xi Luo A Constrained $ell_1$ Minimization
Approach to Sparse Precision Matrix
Estimation . . . . . . . . . . . . . . . 594--607
A. Chatterjee and
S. N. Lahiri Bootstrapping Lasso Estimators . . . . . 608--625
Yiyuan She and
Art B. Owen Outlier Detection Using Nonconvex
Penalized Regression . . . . . . . . . . 626--639
Aurore Delaigle and
Alexander Meister Nonparametric Regression Analysis for
Group Testing Data . . . . . . . . . . . 640--650
Enno Mammen and
María Dolores Martínez Miranda and
Jens Perch Nielsen and
Stefan Sperlich Do-Validation for Kernel Density
Estimation . . . . . . . . . . . . . . . 651--660
Andrea Bergesio and
Victor J. Yohai Projection Estimators for Generalized
Linear Models . . . . . . . . . . . . . 661--671
Tony Cai and
Weidong Liu Adaptive Thresholding for Sparse
Covariance Matrix Estimation . . . . . . 672--684
Jialiang Li and
Wenyang Zhang A Semiparametric Threshold Model for
Censored Longitudinal Data Analysis . . 685--696
Nicole Krämer and
Masashi Sugiyama The Degrees of Freedom of Partial Least
Squares Regression . . . . . . . . . . . 697--705
Stefan Van Aelst and
Gert Willems Robust and Efficient One-Way MANOVA
Tests . . . . . . . . . . . . . . . . . 706--718
Azadeh Alimadad and
Matias Salibian-Barrera An Outlier-Robust Fit for Generalized
Additive Models With Applications to
Disease Outbreak Detection . . . . . . . 719--731
Jiming Jiang and
Thuan Nguyen and
J. Sunil Rao Best Predictive Small Area Estimation 732--745
Tilmann Gneiting Making and Evaluating Point Forecasts 746--762
Anonymous Book Reviews . . . . . . . . . . . . . . 763--772
Anonymous Correction . . . . . . . . . . . . . . . 773--773
Ciprian M. Crainiceanu and
Brian S. Caffo and
Sheng Luo and
Vadim M. Zipunnikov and
Naresh M. Punjabi Population Value Decomposition, a
Framework for the Analysis of Image
Populations . . . . . . . . . . . . . . 775--790
Nicole A. Lazar Comment: ``Population Value
Decomposition, a Framework for the
Analysis of Image Populations'' . . . . 791--796
Kerby Shedden Comment: ``Population Value
Decomposition, a Framework for the
Analysis of Image Populations'' . . . . 796--797
E. F. Lock and
A. B. Nobel and
J. S. Marron Comment: ``Population Value
Decomposition, a Framework for the
Analysis of Image Populations'' . . . . 798--802
Ying Nian Wu Comment: ``Population Value
Decomposition, a Framework for the
Analysis of Image Populations'' . . . . 802--803
Ciprian M. Crainiceanu and
Brian S. Caffo and
Sheng Luo and
Vadim M. Zipunnikov and
Naresh M. Punjabi Rejoinder: ``Population Value
Decomposition, a Framework for the
Analysis of Image Populations'' . . . . 803--806
Hongxia Yang and
Sean O'Brien and
David B. Dunson Nonparametric Bayes Stochastically
Ordered Latent Class Models . . . . . . 807--817
Ying Yuan and
Guosheng Yin Robust EM Continual Reassessment Method
in Oncology Dose Finding . . . . . . . . 818--831
Cheolwoo Park and
Jeongyoun Ahn and
Martin Hendry and
Woncheol Jang Analysis of Long Period Variable Stars
With Nonparametric Tests for Trend
Detection . . . . . . . . . . . . . . . 832--845
Yu Zhang and
Jun S. Liu Fast and Accurate Approximation to
Significance Tests in Genome-Wide
Association Studies . . . . . . . . . . 846--857
Kim P. Huynh and
David T. Jacho-Chávez and
Robert J. Petrunia and
Marcel Voia Functional Principal Component Analysis
of Density Families With Categorical and
Continuous Data on Canadian Entrant
Manufacturing Firms . . . . . . . . . . 858--878
Aiyou Chen and
Jin Cao and
Larry Shepp and
Tuan Nguyen Distinct Counting With a Self-Learning
Bitmap . . . . . . . . . . . . . . . . . 879--890
Pei Fen Kuan and
Dongjun Chung and
Guangjin Pan and
James A. Thomson and
Ron Stewart and
Sündüz Kele\cs A Statistical Framework for the Analysis
of ChIP-Seq Data . . . . . . . . . . . . 891--903
Eric B. Laber and
Susan A. Murphy Adaptive Confidence Intervals for the
Test Error in Classification . . . . . . 904--913
Richard J. Samworth Comment: ``Adaptive Confidence Intervals
for the Test Error in Classification'' 914--915
Peter Bühlmann Comment: ``Adaptive Confidence Intervals
for the Test Error in Classification'' 916--918
Lutz Dümbgen Comment: ``Adaptive Confidence Intervals
for the Test Error in Classification'' 919--919
Yair Goldberg and
Michael R. Kosorok Comment: ``Adaptive Confidence Intervals
for the Test Error in Classification'' 920--924
Yuhong Yang and
Gang Cheng Comment: ``Adaptive Confidence Intervals
for the Test Error in Classification'' 924--931
Susan Wei and
Andrew B. Nobel Comment: ``Adaptive Confidence Intervals
for the Test Error in Classification'' 931--936
Wolfgang Polonik Comment: ``Adaptive Confidence Intervals
for the Test Error in Classification'' 936--940
Eric B. Laber and
Susan A. Murphy Rejoinder: Adaptive Confidence Intervals
for the Test Error in Classification . . 940--945
Miguel A. Delgado and
Carlos Velasco An Asymptotically Pivotal Transform of
the Residuals Sample Autocorrelations
With Application to Model Checking . . . 946--958
C. Faes and
J. T. Ormerod and
M. P. Wand Variational Bayesian Inference for
Parametric and Nonparametric Regression
With Missing Data . . . . . . . . . . . 959--971
Emily L. Kang and
Noel Cressie Bayesian Inference for the Spatial
Random Effects Model . . . . . . . . . . 972--983
Yihua Zhao Posterior Probability of Discovery and
Expected Rate of Discovery for Multiple
Hypothesis Testing and High Throughput
Assays . . . . . . . . . . . . . . . . . 984--996
D. Y. Lin and
D. Zeng Correcting for Population Stratification
in Genomewide Association Studies . . . 997--1008
Seonjoo Lee and
Haipeng Shen and
Young Truong and
Mechelle Lewis and
Xuemei Huang Independent Component Analysis Involving
Autocorrelated Sources With an
Application to Functional Magnetic
Resonance Imaging . . . . . . . . . . . 1009--1024
Minjing Tao and
Yazhen Wang and
Qiwei Yao and
Jian Zou Large Volatility Matrix Inference via
Combining Low-Frequency and
High-Frequency Approaches . . . . . . . 1025--1040
Joyee Ghosh and
Merlise A. Clyde Rao--Blackwellization for Bayesian
Variable Selection and Model Averaging
in Linear and Binary Regression: a Novel
Data Augmentation Approach . . . . . . . 1041--1052
Hua Liang and
Guohua Zou and
Alan T. K. Wan and
Xinyu Zhang Optimal Weight Choice for Frequentist
Model Average Estimators . . . . . . . . 1053--1066
Eloise E. Kaizar and
Yan Li and
Jason C. Hsu Permutation Multiple Tests of Binary
Features Do Not Uniformly Control Error
Rates . . . . . . . . . . . . . . . . . 1067--1074
Jacob Bien and
Robert Tibshirani Hierarchical Clustering With Prototypes
via Minimax Linkage . . . . . . . . . . 1075--1084
Edward W. Frees and
Glenn Meyers and
A. David Cummings Summarizing Insurance Scores Using a
Gini Index . . . . . . . . . . . . . . . 1085--1098
Hao Helen Zhang and
Guang Cheng and
Yufeng Liu Linear or Nonlinear? Automatic Structure
Discovery for Partially Linear Models 1099--1112
Holger Dette and
Philip Preuß and
Mathias Vetter A Measure of Stationarity in Locally
Stationary Processes With Applications
to Testing . . . . . . . . . . . . . . . 1113--1124
Rahul Mazumder and
Jerome H. Friedman and
Trevor Hastie SparseNet: Coordinate Descent With
Nonconvex Penalties . . . . . . . . . . 1125--1138
Shan Ba and
V. Roshan Joseph Multi-Layer Designs for Computer
Experiments . . . . . . . . . . . . . . 1139--1149
Jörg Breitung and
Jörn Tenhofen GLS Estimation of Dynamic Factor Models 1150--1166
Hongxiao Zhu and
Philip J. Brown and
Jeffrey S. Morris Robust, Adaptive Functional Regression
in Functional Mixed Model Framework . . 1167--1179
Yanyuan Ma and
Jeffrey D. Hart and
Raymond J. Carroll Density Estimation in Several
Populations With Uncertain Population
Membership . . . . . . . . . . . . . . . 1180--1192
Xiaobo Ding and
Qihua Wang Fusion-Refinement Procedure for
Dimension Reduction With Missing
Response at Random . . . . . . . . . . . 1193--1207
Subhashis Ghosal and
Anindya Roy Predicting False Discovery Proportion
Under Dependence . . . . . . . . . . . . 1208--1218
Anonymous Book Reviews . . . . . . . . . . . . . . 1219--1224
Nancy L. Geller Statistics: An All-Encompassing
Discipline . . . . . . . . . . . . . . . 1225--1229
Lan Huang and
Jyoti Zalkikar and
Ram C. Tiwari A Likelihood Ratio Test Based Method for
Signal Detection With Application to
FDA's Drug Safety Data . . . . . . . . . 1230--1241
Tao Lu and
Hua Liang and
Hongzhe Li and
Hulin Wu High-Dimensional ODEs Coupled With
Mixed-Effects Modeling Techniques for
Dynamic Gene Regulatory Network
Identification . . . . . . . . . . . . . 1242--1258
Minhua Chen and
Aimee Zaas and
Christopher Woods and
Geoffrey S. Ginsburg and
Joseph Lucas and
David Dunson and
Lawrence Carin Predicting Viral Infection From
High-Dimensional Biomarker Trajectories 1259--1279
Shane T. Jensen and
Stephen H. Shore Semiparametric Bayesian Modeling of
Income Volatility Heterogeneity . . . . 1280--1290
William Kleiber and
Adrian E. Raftery and
Tilmann Gneiting Geostatistical Model Averaging for
Locally Calibrated Probabilistic
Quantitative Precipitation Forecasting 1291--1303
Roee Gutman and
Gayle DeDe and
David Caplan and
Jun S. Liu Rasch Model and Its Extensions for
Analysis of Aphasic Deficits in
Syntactic Comprehension . . . . . . . . 1304--1316
Qing Zhou Multi-Domain Sampling With Applications
to Structural Inference of Bayesian
Networks . . . . . . . . . . . . . . . . 1317--1330
Scott L. Schwartz and
Fan Li and
Fabrizia Mealli A Bayesian Semiparametric Approach to
Intermediate Variables in Causal
Inference . . . . . . . . . . . . . . . 1331--1344
Lin S. Chen and
Debashis Paul and
Ross L. Prentice and
Pei Wang A Regularized Hotelling's $T^2$ Test for
Pathway Analysis in Proteomic Studies 1345--1360
Michael Schweinberger Instability, Sensitivity, and Degeneracy
of Discrete Exponential Families . . . . 1361--1370
Jessica Minnier and
Lu Tian and
Tianxi Cai A Perturbation Method for Inference on
Regularized Regression Estimates . . . . 1371--1382
Chris Hans Elastic Net Regression Modeling With the
Orthant Normal Prior . . . . . . . . . . 1383--1393
Ori Davidov and
Shyamal Peddada Order-Restricted Inference for
Multivariate Binary Data With
Application to Toxicology . . . . . . . 1394--1404
Mi-Ok Kim and
Yunwen Yang Semiparametric Approach to a Random
Effects Quantile Regression Model . . . 1405--1417
Adrian Dobra and
Alex Lenkoski and
Abel Rodriguez Bayesian Inference for General Gaussian
Graphical Models With Application to
Multivariate Lattice Data . . . . . . . 1418--1433
Jing Qin and
Jing Ning and
Hao Liu and
Yu Shen Maximum Likelihood Estimations and EM
Algorithms With Length-Biased Data . . . 1434--1449
David S. Matteson and
Ruey S. Tsay Dynamic Orthogonal Components for
Multivariate Time Series . . . . . . . . 1450--1463
Li-Ping Zhu and
Lexin Li and
Runze Li and
Li-Xing Zhu Model-Free Feature Screening for
Ultrahigh-Dimensional Data . . . . . . . 1464--1475
Pengfei Li and
Jing Qin A New Nuisance-Parameter Elimination
Method With Application to the Unordered
Homologous Chromosome Pairs Problem . . 1476--1484
Bin Zhu and
Jeremy M. G. Taylor and
Peter X.-K. Song Semiparametric Stochastic Modeling of
the Rate Function in Longitudinal
Studies . . . . . . . . . . . . . . . . 1485--1495
Valentina Corradi and
Walter Distaso and
Norman R. Swanson Predictive Inference for Integrated
Volatility . . . . . . . . . . . . . . . 1496--1512
Alysha M. De Livera and
Rob J. Hyndman and
Ralph D. Snyder Forecasting Time Series With Complex
Seasonal Patterns Using Exponential
Smoothing . . . . . . . . . . . . . . . 1513--1527
Antonio Canale and
David B. Dunson Bayesian Kernel Mixtures for Counts . . 1528--1539
Alfred Hero and
Bala Rajaratnam Large-Scale Correlation Screening . . . 1540--1552
Li Ma and
Wing Hung Wong Coupling Optional Pólya Trees and the Two
Sample Problem . . . . . . . . . . . . . 1553--1565
Tony Cai and
Weidong Liu A Direct Estimation Approach to Sparse
Linear Discriminant Analysis . . . . . . 1566--1577
Peng Ding and
Zhi Geng and
Wei Yan and
Xiao-Hua Zhou Identifiability and Estimation of Causal
Effects by Principal Stratification With
Outcomes Truncated by Death . . . . . . 1578--1591
Limin Peng and
Ruosha Li and
Ying Guo and
Amita Manatunga A Framework for Assessing Broad Sense
Agreement Between Ordinal and Continuous
Measurements . . . . . . . . . . . . . . 1592--1601
Bradley Efron Tweedie's Formula and Selection Bias . . 1602--1614
David M. Ruth and
Robert A. Koyak Nonparametric Tests for Homogeneity
Based on Non-Bipartite Matching . . . . 1615--1625
Daniell Toth and
John L. Eltinge Building Consistent Regression Trees
From Complex Sample Data . . . . . . . . 1626--1636
Anonymous Book Reviews . . . . . . . . . . . . . . 1637--1648
Anonymous 2011 Editorial Collaborators . . . . . . 1649--1654
Anonymous Index to Volume 106 (2011) . . . . . . . 1655--1661
Wensheng Zhu and
Yuan Jiang and
Heping Zhang Nonparametric Covariate-Adjusted
Association Tests Based on the
Generalized Kendall's Tau . . . . . . . 1--11
Xiaoyan Shi and
Hongtu Zhu and
Joseph G. Ibrahim and
Faming Liang and
Jeffrey Lieberman and
Martin Styner Intrinsic Regression Models for Medial
Representation of Subcortical Structures 12--23
Debbie J. Dupuis Modeling Waves of Extreme Temperature:
The Changing Tails of Four Cities . . . 24--39
Lawrence C. McCandless and
Sylvia Richardson and
Nicky Best Adjustment for Missing Confounders Using
External Validation Data and Propensity
Scores . . . . . . . . . . . . . . . . . 40--51
James Y. Dai and
Peter B. Gilbert and
Beno\^\it R. Mâsse Partially Hidden Markov Model for
Time-Varying Principal Stratification in
HIV Prevention Trials . . . . . . . . . 52--65
Jooyoung Jeon and
James W. Taylor Using Conditional Kernel Density
Estimation for Wind Power Density
Forecasting . . . . . . . . . . . . . . 66--79
Tristan Zajonc Bayesian Inference for Dynamic Treatment
Regimes: Mobility, Equity, and
Efficiency in Student Tracking . . . . . 80--92
Alexandre Rodrigues and
Peter J. Diggle Bayesian Estimation and Prediction for
Inhomogeneous Spatiotemporal
Log-Gaussian Cox Processes Using
Low-Rank Models, With Application to
Criminal Surveillance . . . . . . . . . 93--101
Dai Feng and
Luke Tierney and
Vincent Magnotta MRI Tissue Classification Using
High-Resolution Bayesian Hidden Markov
Normal Mixture Models . . . . . . . . . 102--119
Longhai Li Bias-Corrected Hierarchical Bayesian
Classification With a Selected Subset of
High-Dimensional Features . . . . . . . 120--134
Keyur H. Desai and
John D. Storey Cross-Dimensional Inference of Dependent
High-Dimensional Data . . . . . . . . . 135--151
Bing Li and
Hyonho Chun and
Hongyu Zhao Sparse Estimation of Conditional
Graphical Models With Application to
Gene Networks . . . . . . . . . . . . . 152--167
Yanyuan Ma and
Liping Zhu A Semiparametric Approach to Dimension
Reduction . . . . . . . . . . . . . . . 168--179
Tatiyana V. Apanasovich and
Marc G. Genton and
Ying Sun A Valid Matérn Class of Cross-Covariance
Functions for Multivariate Random Fields
With Any Number of Components . . . . . 180--193
Huixia Judy Wang and
Xingdong Feng Multiple Imputation for $M$-Regression
With Censored Covariates . . . . . . . . 194--204
Qian M. Zhou and
Peter X.-K. Song and
Mary E. Thompson Information Ratio Test for Model
Misspecification in Quasi-Likelihood
Inference . . . . . . . . . . . . . . . 205--213
Lan Wang and
Yichao Wu and
Runze Li Quantile Regression for Analyzing
Heterogeneity in Ultra-High Dimension 214--222
Xiaotong Shen and
Wei Pan and
Yunzhang Zhu Likelihood-Based Selection and Sharp
Parameter Estimation . . . . . . . . . . 223--232
Daniel J. Nordman and
Soumendra N. Lahiri Block Bootstraps for Time Series With
Fixed Regressors . . . . . . . . . . . . 233--246
Zonghui Hu and
Dean A. Follmann and
Jing Qin Semiparametric Double Balancing Score
Estimation for Incomplete Data With
Ignorable Missingness . . . . . . . . . 247--257
Gaurav Sharma and
Thomas Mathew One-Sided and Two-Sided Tolerance
Intervals in General Mixed and Random
Effects Models Using Small-Sample
Asymptotics . . . . . . . . . . . . . . 258--267
Moreno Bevilacqua and
Carlo Gaetan and
Jorge Mateu and
Emilio Porcu Estimating Space and Space-Time
Covariance Functions for Large Data
Sets: a Weighted Composite Likelihood
Approach . . . . . . . . . . . . . . . . 268--280
Luke Bornn and
Gavin Shaddick and
James V. Zidek Modeling Nonstationary Processes Through
Dimension Expansion . . . . . . . . . . 281--289
Michael S. Smith and
Mohamad A. Khaled Estimation of Copula Models With
Discrete Margins via Bayesian Data
Augmentation . . . . . . . . . . . . . . 290--303
Yulia V. Marchenko and
Marc G. Genton A Heckman Selection-$t$ Model . . . . . 304--317
Ying Qing Chen and
Nan Hu and
Su-Chun Cheng and
Philippa Musoke and
Lue Ping Zhao Estimating Regression Parameters in an
Extended Proportional Odds Model . . . . 318--330
Ruoqing Zhu and
Michael R. Kosorok Recursively Imputed Survival Trees . . . 331--340
Sebastian Irle and
Helmut Schäfer Interim Design Modifications in
Time-to-Event Studies . . . . . . . . . 341--348
Bodhisattva Sen and
Probal Chaudhuri On Fractile Transformation of Covariates
in Regression . . . . . . . . . . . . . 349--361
Anirban Bhattacharya and
David B. Dunson Simplex Factor Models for Multivariate
Unordered Categorical Data . . . . . . . 362--377
Ranjan Maitra and
Volodymyr Melnykov and
Soumendra N. Lahiri Bootstrapping for Significance of
Compact Clusters in Multidimensional
Datasets . . . . . . . . . . . . . . . . 378--392
Peter Z. G. Qian Sliced Latin Hypercube Designs . . . . . 393--399
Dávid Papp Optimal Designs for Rational Function
Regression . . . . . . . . . . . . . . . 400--411
Jianqing Fan and
Yingying Li and
Ke Yu Vast Volatility Matrix Estimation Using
High-Frequency Data for Portfolio
Selection . . . . . . . . . . . . . . . 412--428
Anonymous Book Reviews . . . . . . . . . . . . . . 429--438
Lane F. Burgette and
Jerome P. Reiter Nonparametric Bayesian Multiple
Imputation for Missing Data Due to
Mid-Study Switching of Measurement
Methods . . . . . . . . . . . . . . . . 439--449
Paolo Frumento and
Fabrizia Mealli and
Barbara Pacini and
Donald B. Rubin Evaluating the Effect of Training on
Wages in the Presence of Noncompliance,
Nonemployment, and Missing Outcome Data 450--466
Earvin Balderama and
Frederic Paik Schoenberg and
Erin Murray and
Philip W. Rundel Application of Branching Models in the
Study of Invasive Species . . . . . . . 467--476
Giseon Heo and
Jennifer Gamble and
Peter T. Kim Topological Analysis of Variance and the
Maxillary Complex . . . . . . . . . . . 477--492
Lu Wang and
Andrea Rotnitzky and
Xihong Lin and
Randall E. Millikan and
Peter F. Thall Evaluation of Viable Dynamic Treatment
Regimes in a Sequentially Randomized
Trial of Advanced Prostate Cancer . . . 493--508
Daniel Almirall and
Daniel J. Lizotte and
Susan A. Murphy Comment . . . . . . . . . . . . . . . . 509--512
Paul Chaffee and
Mark van der Laan Comment . . . . . . . . . . . . . . . . 513--517
Lu Wang and
Andrea Rotnitzky and
Xihong Lin and
Randall E. Millikan and
Peter F. Thall Rejoinder . . . . . . . . . . . . . . . 518--520
Michael E. Sobel Does Marriage Boost Men's Wages?:
Identification of Treatment Effects in
Fixed Effects Regression Models for
Panel Data . . . . . . . . . . . . . . . 521--529
Xi Luo and
Dylan S. Small and
Chiang-Shan R. Li and
Paul R. Rosenbaum Inference With Interference Between
Units in an fMRI Experiment of Motor
Inhibition . . . . . . . . . . . . . . . 530--541
Li Li and
Joseph J. Eron and
Heather Ribaudo and
Roy M. Gulick and
Brent A. Johnson Evaluating the Effect of Early Versus
Late ARV Regimen Change if Failure on an
Initial Regimen: Results From the AIDS
Clinical Trials Group Study A5095 . . . 542--554
Dulal K. Bhaumik and
Anup Amatya and
Sharon-Lise T. Normand and
Joel Greenhouse and
Eloise Kaizar and
Brian Neelon and
Robert D. Gibbons Meta-Analysis of Rare Binary Adverse
Event Data . . . . . . . . . . . . . . . 555--567
Hakmook Kang and
Hernando Ombao and
Crystal Linkletter and
Nicole Long and
David Badre Spatio-Spectral Mixed-Effects Model for
Functional Magnetic Resonance Imaging
Data . . . . . . . . . . . . . . . . . . 568--577
Thomas Barrios and
Rebecca Diamond and
Guido W. Imbens and
Michal Kolesár Clustering, Spatial Correlations, and
Randomization Inference . . . . . . . . 578--591
Jianqing Fan and
Jingjin Zhang and
Ke Yu Vast Portfolio Selection With
Gross-Exposure Constraints . . . . . . . 592--606
Alessandra Luati and
Tommaso Proietti and
Marco Reale The Variance Profile . . . . . . . . . . 607--621
Viktor Todorov and
George Tauchen Inverse Realized Laplace Transforms for
Nonparametric Volatility Density
Estimation in Jump-Diffusions . . . . . 622--635
James O. Berger and
Jose M. Bernardo and
Dongchu Sun Objective Priors for Discrete Parameter
Spaces . . . . . . . . . . . . . . . . . 636--648
Valen E. Johnson and
David Rossell Bayesian Model Selection in
High-Dimensional Settings . . . . . . . 649--660
Peter Hall and
Michael G. Schimek Moderate-Deviation-Based Inference for
Random Degeneration in Paired Rank Lists 661--672
Wenguang Sun and
Alexander C. McLain Multiple Testing of Composite Null
Hypotheses in Heteroscedastic Models . . 673--687
Liuquan Sun and
Xinyuan Song and
Jie Zhou and
Lei Liu Joint Analysis of Longitudinal Data With
Informative Observation Times and a
Dependent Terminal Event . . . . . . . . 688--700
Jianhui Zhou and
Annie Qu Informative Estimation and Selection of
Correlation Structure for Longitudinal
Data . . . . . . . . . . . . . . . . . . 701--710
Mian Huang and
Weixin Yao Mixture of Regression Models With
Varying Mixing Proportions: a
Semiparametric Approach . . . . . . . . 711--724
Peng Wang and
Guei-feng Tsai and
Annie Qu Conditional Inference Functions for
Mixed-Effects Models With Unspecified
Random-Effects Distribution . . . . . . 725--736
Jun Li and
Juan A. Cuesta-Albertos and
Regina Y. Liu \em DD-Classifier: Nonparametric
Classification Procedure Based on \em
DD-Plot . . . . . . . . . . . . . . . . 737--753
Ute Hahn A Studentized Permutation Test for the
Comparison of Spatial Point Patterns . . 754--764
Ta-Hsin Li Quantile Periodograms . . . . . . . . . 765--776
Thomas J. Fisher and
Colin M. Gallagher New Weighted Portmanteau Statistics for
Time Series Goodness of Fit Testing . . 777--787
Christopher R. Genovese and
Marco Perone-Pacifico and
Isabella Verdinelli and
Larry Wasserman The Geometry of Nonparametric Filament
Estimation . . . . . . . . . . . . . . . 788--799
Sylvain Sardy Smooth Blockwise Iterative Thresholding:
a Smooth Fixed Point Estimator Based on
the Likelihood's Block Gradient . . . . 800--813
Daniel Percival Structured, Sparse Aggregation . . . . . 814--823
W. Brannath and
G. Gutjahr and
P. Bauer Probabilistic Foundation of Confirmatory
Adaptive Designs . . . . . . . . . . . . 824--832
Alberto Abadie and
Guido W. Imbens A Martingale Representation for Matching
Estimators . . . . . . . . . . . . . . . 833--843
Pierre Perron and
Tomoyoshi Yabu Testing for Trend in the Presence of
Autoregressive Error: A Comment . . . . 844--844
Anonymous Book Reviews . . . . . . . . . . . . . . 845--853
Ioanna Manolopoulou and
Melanie P. Matheu and
Michael D. Cahalan and
Mike West and
Thomas B. Kepler Bayesian Spatio-Dynamic Modeling in Cell
Motility Studies: Learning Nonlinear
Taxic Fields Guiding the Immune Response 855--865
Edward L. Ionides Comment: Cell Motility Models and
Inference for Dynamic Systems . . . . . 865--868
Samuel Kou Comment . . . . . . . . . . . . . . . . 868--869
Le Bao and
John Fricks and
Murali Haran Comment on the Mechanistic Modeling and
Inference for Cell Motility by
Manolopoulou et al. . . . . . . . . . . 869--871
Ioanna Manolopoulou and
Melanie P. Matheu and
Michael D. Cahalan and
Mike West and
Thomas B. Kepler Rejoinder . . . . . . . . . . . . . . . 871--874
Laura A. Hatfield and
Mark E. Boye and
Michelle D. Hackshaw and
Bradley P. Carlin Multilevel Bayesian Models for Survival
Times and Longitudinal Patient-Reported
Outcomes With Many Zeros . . . . . . . . 875--885
Sally Picciotto and
Miguel A. Hernán and
John H. Page and
Jessica G. Young and
James M. Robins Structural Nested Cumulative Failure
Time Models to Estimate the Effects of
Interventions . . . . . . . . . . . . . 886--900
José R. Zubizarreta and
Mark Neuman and
Jeffrey H. Silber and
Paul R. Rosenbaum Contrasting Evidence Within and Between
Institutions That Provide Treatment in
an Observational Study of Alternate
Forms of Anesthesia . . . . . . . . . . 901--915
Qirong Ho and
Ankur P. Parikh and
Eric P. Xing A Multiscale Community Blockmodel for
Network Exploration . . . . . . . . . . 916--934
Jianhua Hu and
Xuming He Searching for Alternative Splicing With
a Joint Model on Probe Measurability and
Expression Intensities . . . . . . . . . 935--945
Chiung-yu Huang and
Jing Qin Composite Partial Likelihood Estimation
Under Length-Biased Sampling, With
Application to a Prevalent Cohort Study
of Dementia . . . . . . . . . . . . . . 946--957
Brent Kreider and
John V. Pepper and
Craig Gundersen and
Dean Jolliffe Identifying the Effects of SNAP (Food
Stamps) on Child Health Outcomes When
Participation Is Endogenous and
Misreported . . . . . . . . . . . . . . 958--975
María José García-Zattera and
Alejandro Jara and
Emmanuel Lesaffre and
Guillermo Marshall Modeling of Multivariate Monotone
Disease Processes in the Presence of
Misclassification . . . . . . . . . . . 976--989
A. Adam Ding and
Shaonan Tian and
Yan Yu and
Hui Guo A Class of Discrete Transformation
Survival Models With Application to
Default Probability Prediction . . . . . 990--1003
Hai Nguyen and
Noel Cressie and
Amy Braverman Spatial Statistical Data Fusion for
Remote Sensing Applications . . . . . . 1004--1018
Jianqing Fan and
Xu Han and
Weijie Gu Estimating False Discovery Proportion
Under Arbitrary Covariance Dependence 1019--1035
Larry Wasserman Comment . . . . . . . . . . . . . . . . 1035--1036
Aurore Delaigle and
Peter Hall Comment: Robustness to Assumption of
Normally Distributed Errors . . . . . . 1036--1039
Armin Schwartzman Comment: FDP vs FDR and the Effect of
Conditioning . . . . . . . . . . . . . . 1039--1041
Jiashun Jin Comment . . . . . . . . . . . . . . . . 1042--1045
Jianqing Fan and
Xu Han and
Weijie Gu Rejoinder . . . . . . . . . . . . . . . 1046--1048
Qin Zhou and
Changliang Zou and
Zhaojun Wang and
Wei Jiang Likelihood-Based EWMA Charts for
Monitoring Poisson Count Data With
Time-Varying Sample Sizes . . . . . . . 1049--1062
Anastasios Panagiotelis and
Claudia Czado and
Harry Joe Pair Copula Constructions for
Multivariate Discrete Data . . . . . . . 1063--1072
Jens-peter Kreiss and
Efstathios Paparoditis The Hybrid Wild Bootstrap for Time
Series . . . . . . . . . . . . . . . . . 1073--1084
Victor M. Panaretos and
Kjell Konis Nonparametric Construction of
Multivariate Kernels . . . . . . . . . . 1085--1095
Jiahua Chen and
Pengfei Li and
Yuejiao Fu Inference on the Order of a Normal
Mixture . . . . . . . . . . . . . . . . 1096--1105
Yingqi Zhao and
Donglin Zeng and
A. John Rush and
Michael R. Kosorok Estimating Individualized Treatment
Rules Using Outcome Weighted Learning 1106--1118
Daniel L. Sussman and
Minh Tang and
Donniell E. Fishkind and
Carey E. Priebe A Consistent Adjacency Spectral
Embedding for Stochastic Blockmodel
Graphs . . . . . . . . . . . . . . . . . 1119--1128
Runze Li and
Wei Zhong and
Liping Zhu Feature Screening via Distance
Correlation Learning . . . . . . . . . . 1129--1139
Holger Dette and
Matthias Trampisch Optimal Designs for Quantile Regression
Models . . . . . . . . . . . . . . . . . 1140--1151
Sebastian Kurtek and
Anuj Srivastava and
Eric Klassen and
Zhaohua Ding Statistical Modeling of Curves Using
Shapes and Related Features . . . . . . 1152--1165
Raymond Carroll and
Aurore Delaigle and
Peter Hall Deconvolution When Classifying Noisy
Data Involving Transformations . . . . . 1166--1177
Mike Danilov and
Víctor J. Yohai and
Ruben H. Zamar Robust Estimation of Multivariate
Location and Scatter in the Presence of
Missing Data . . . . . . . . . . . . . . 1178--1186
Chenlei Leng and
Cheng Yong Tang Sparse Matrix Graphical Models . . . . . 1187--1200
T. Tony Cai and
Ming Yuan Minimax and Adaptive Prediction for
Functional Linear Regression . . . . . . 1201--1216
Gabriel Chandler and
Wolfgang Polonik Mode Identification of Volatility in
Time-Varying Autoregression . . . . . . 1217--1229
Trent Gaugler and
Michael G. Akritas Mixed Effects Designs: The Symmetry
Assumption and Missing Data . . . . . . 1230--1238
Shurong Zheng and
Ning-Zhong Shi and
Zhengjun Zhang Generalized Measures of Correlation for
Asymmetry, Nonlinearity, and Beyond . . 1239--1252
Anonymous Book Reviews . . . . . . . . . . . . . . 1253--1256
Anonymous Correction . . . . . . . . . . . . . . . 1257--1257
Anonymous Erratum . . . . . . . . . . . . . . . . 1258--1258
William Astle and
Maria De Iorio and
Sylvia Richardson and
David Stephens and
Timothy Ebbels A Bayesian Model of NMR Spectra for the
Deconvolution and Quantification of
Metabolites in Complex Biological
Mixtures . . . . . . . . . . . . . . . . 1259--1271
Yuan Wang and
J. S. Marron and
Burcu Aydin and
Alim Ladha and
Elizabeth Bullitt and
Haonan Wang A Nonparametric Regression Model With
Tree-Structured Response . . . . . . . . 1272--1285
Manuel Wiesenfarth and
Tatyana Krivobokova and
Stephan Klasen and
Stefan Sperlich Direct Simultaneous Inference in
Additive Models and Its Application to
Model Undernutrition . . . . . . . . . . 1286--1296
Martin A. Lindquist Functional Causal Mediation Analysis
With an Application to Brain
Connectivity . . . . . . . . . . . . . . 1297--1309
Sandra M. Mohammed and
Damla \cSentürk and
Lorien S. Dalrymple and
Danh V. Nguyen Measurement Error Case Series Models
With Application to
Infection-Cardiovascular Risk in Older
Patients on Dialysis . . . . . . . . . . 1310--1323
Yuanjia Wang and
Tanya P. Garcia and
Yanyuan Ma Nonparametric Estimation for Censored
Mixture Data With Application to the
Cooperative Huntington's Observational
Research Trial . . . . . . . . . . . . . 1324--1338
Hsiu-Hsi Chen and
Amy Ming-Fang Yen and
László Tabár A Stochastic Model for Calibrating the
Survival Benefit of Screen-Detected
Cancers . . . . . . . . . . . . . . . . 1339--1359
José R. Zubizarreta Using Mixed Integer Programming for
Matching in an Observational Study of
Kidney Failure After Surgery . . . . . . 1360--1371
Donatello Telesca and
Peter Müller and
Steven M. Kornblau and
Marc A. Suchard and
Yuan Ji Modeling Protein Expression and Protein
Signaling Pathways . . . . . . . . . . . 1372--1384
Daniel Manrique-Vallier and
Jerome P. Reiter Estimating Identification Disclosure
Risk Using Mixed Membership Models . . . 1385--1394
Michelle R. Danaher and
Anindya Roy and
Zhen Chen and
Sunni L. Mumford and
Enrique F. Schisterman Minkowski--Weyl Priors for Models With
Parameter Constraints: An Analysis of
the BioCycle Study . . . . . . . . . . . 1395--1409
Vanja Dukic and
Hedibert F. Lopes and
Nicholas G. Polson Tracking Epidemics With Google Flu
Trends Data and a State-Space SEIR Model 1410--1426
Donatello Telesca and
Elena A. Erosheva and
Derek A. Kreager and
Ross L. Matsueda Modeling Criminal Careers as Departures
From a Unimodal Population Age-Crime
Curve: The Case of Marijuana Use . . . . 1427--1440
Summer S. Han and
Philip S. Rosenberg and
Nilanjan Chatterjee Testing for Gene-Environment and
Gene-Gene Interactions Under
Monotonicity Constraints . . . . . . . . 1441--1452
Huixia Judy Wang and
Deyuan Li and
Xuming He Estimation of High Conditional Quantiles
for Heavy-Tailed Distributions . . . . . 1453--1464
Xianchao Xie and
S. C. Kou and
Lawrence D. Brown SURE Estimates for a Heteroscedastic
Hierarchical Model . . . . . . . . . . . 1465--1479
Lingzhou Xue and
Shiqian Ma and
Hui Zou Positive-Definite $ l_1 $-Penalized
Estimation of Large Covariance Matrices 1480--1491
Layla Parast and
Su-Chun Cheng and
Tianxi Cai Landmark Prediction of Long-Term
Survival Incorporating Short-Term Event
Time Information . . . . . . . . . . . . 1492--1501
P. L. Davies Interactions in the Analysis of Variance 1502--1509
Justin S. Dyer and
Art B. Owen Correct Ordering in the Zipf--Poisson
Ensemble . . . . . . . . . . . . . . . . 1510--1517
Fabian Scheipl and
Ludwig Fahrmeir and
Thomas Kneib Spike-and-Slab Priors for Function
Selection in Structured Additive
Regression Models . . . . . . . . . . . 1518--1532
Lisha Chen and
Jianhua Z. Huang Sparse Reduced-Rank Regression for
Simultaneous Dimension Reduction and
Variable Selection . . . . . . . . . . . 1533--1545
Davide La Vecchia and
Elvezio Ronchetti and
Fabio Trojani Higher-Order Infinitesimal Robustness 1546--1557
S. C. Kou and
Benjamin P. Olding and
Martin Lysy and
Jun S. Liu A Multiresolution Method for Parameter
Estimation of Diffusion Processes . . . 1558--1574
Ori Rosen and
Sally Wood and
David S. Stoffer AdaptSPEC: Adaptive Spectral Estimation
for Nonstationary Time Series . . . . . 1575--1589
R. Killick and
P. Fearnhead and
I. A. Eckley Optimal Detection of Changepoints With a
Linear Computational Cost . . . . . . . 1590--1598
Kehui Chen and
Hans-Georg Müller Modeling Repeated Functional
Observations . . . . . . . . . . . . . . 1599--1609
Howard D. Bondell and
Brian J. Reich Consistent High-Dimensional Bayesian
Variable Selection via Penalized
Credible Regions . . . . . . . . . . . . 1610--1624
Haipeng Xing and
Zhiliang Ying A Semiparametric Change-Point Regression
Model for Longitudinal Observations . . 1625--1637
Paul S. Clarke and
Frank Windmeijer Instrumental Variable Estimators for
Binary Outcomes . . . . . . . . . . . . 1638--1652
Anonymous Book Reviews . . . . . . . . . . . . . . 1653--1655
Anonymous Erratum . . . . . . . . . . . . . . . . 1656--1656
Anonymous Editorial Collaborators . . . . . . . . 1657--1662
Anonymous Editorial Board EOV . . . . . . . . . . ebi--ebi
Robert N. Rodriguez Building the Big Tent for Statistics . . 1--6
Haeran Cho and
Yannig Goude and
Xavier Brossat and
Qiwei Yao Modeling and Forecasting Daily
Electricity Load Curves: a Hybrid
Approach . . . . . . . . . . . . . . . . 7--21
Ephraim M. Hanks and
Mevin B. Hooten Circuit Theory and Model-Based Inference
for Landscape Connectivity . . . . . . . 22--33
Roee Gutman and
Christopher C. Afendulis and
Alan M. Zaslavsky A Bayesian Procedure for File Linking to
Analyze End-of-Life Medical Costs . . . 34--47
Man-Wai Ho and
Wanzhu Tu and
Pulak Ghosh and
Ram C. Tiwari A Nested Dirichlet Process Analysis of
Cluster Randomized Trial Data With
Application in Geriatric Care Assessment 48--68
Riten Mitra and
Peter Müller and
Shoudan Liang and
Lu Yue and
Yuan Ji A Bayesian Graphical Model for ChIP-Seq
Data on Histone Modifications . . . . . 69--80
Michael W. Robbins and
Sujit K. Ghosh and
Joshua D. Habiger Imputation in High-Dimensional Economic
Data as Applied to the Agricultural
Resource Management Survey . . . . . . . 81--95
Mark C. Wheldon and
Adrian E. Raftery and
Samuel J. Clark and
Patrick Gerland Reconstructing Past Populations With
Uncertainty From Fragmentary Data . . . 96--110
Duchwan Ryu and
Faming Liang and
Bani K. Mallick Sea Surface Temperature Modeling using
Radial Basis Function Networks With a
Dynamically Weighted Particle Filter . . 111--123
Drew A. Linzer Dynamic Bayesian Forecasting of
Presidential Elections in the States . . 124--134
Jesse Y. Hsu and
Dylan S. Small and
Paul R. Rosenbaum Effect Modification and Design
Sensitivity in Observational Studies . . 135--148
Edoardo M. Airoldi and
Alexander W. Blocker Estimating Latent Processes on a Network
From Indirect Measurements . . . . . . . 149--164
Asaf Weinstein and
William Fithian and
Yoav Benjamini Selection Adjusted Confidence Intervals
With More Power to Determine the Sign 165--176
S. M. Schennach and
Yingyao Hu Nonparametric Identification and
Semiparametric Estimation of Classical
Measurement Error Models Without Side
Information . . . . . . . . . . . . . . 177--186
Garritt Page and
Abhishek Bhattacharya and
David Dunson Classification via Bayesian
Nonparametric Learning of Affine
Subspaces . . . . . . . . . . . . . . . 187--201
Arlene Naranjo and
A. Alexandre Trindade and
George Casella Extending the State-Space Model to
Accommodate Missing Values in Responses
and Covariates . . . . . . . . . . . . . 202--216
Jane Paik Kim and
Wenbin Lu and
Tony Sit and
Zhiliang Ying A Unified Approach to Semiparametric
Transformation Models Under General
Biased Sampling Schemes . . . . . . . . 217--227
Qian Jiang and
Hansheng Wang and
Yingcun Xia and
Guohua Jiang On a Principal Varying Coefficient Model 228--236
Zhenghui Feng and
Xuerong Meggie Wen and
Zhou Yu and
Lixing Zhu On Partial Sufficient Dimension
Reduction With Applications to Partially
Linear Multi-Index Models . . . . . . . 237--246
Wei Lin and
Jinchi Lv High-Dimensional Sparse Additive Hazards
Regression . . . . . . . . . . . . . . . 247--264
Tony Cai and
Weidong Liu and
Yin Xia Two-Sample Covariance Matrix Testing and
Support Recovery in High-Dimensional and
Sparse Settings . . . . . . . . . . . . 265--277
Jing Lei and
James Robins and
Larry Wasserman Distribution-Free Prediction Sets . . . 278--287
Fei Fu and
Qing Zhou Learning Sparse Causal Gaussian Networks
With Experimental Intervention:
Regularization and Coordinate Descent 288--300
Ryan Martin and
Chuanhai Liu Inferential Models: a Framework for
Prior-Free Posterior Probabilistic
Inference . . . . . . . . . . . . . . . 301--313
Christoph Rothe and
Dominik Wied Misspecification Testing in a Class of
Conditional Distributional Models . . . 314--324
Faming Liang and
Yichen Cheng and
Qifan Song and
Jincheol Park and
Ping Yang A Resampling-Based Stochastic
Approximation Method for Analysis of
Large Geostatistical Data . . . . . . . 325--339
G. García-donato and
M. A. Martínez-beneito On Sampling Strategies in Bayesian
Variable Selection Problems With Large
Model Spaces . . . . . . . . . . . . . . 340--352
Anonymous Book Review Index . . . . . . . . . . . 353--358
Roderick J. Little In Praise of Simplicity not
Mathematistry! Ten Simple Powerful Ideas
for the Statistical Scientist . . . . . 359--369
Edward Ip and
Qiang Zhang and
Jack Rejeski and
Tammy Harris and
Stephen Kritchevsky Partially Ordered Mixed Hidden Markov
Model for the Disablement Process of
Older Adults . . . . . . . . . . . . . . 370--384
Mauricio Sadinle and
Stephen E. Fienberg A Generalized Fellegi--Sunter Framework
for Multiple Record Linkage With
Application to Homicide Record Systems 385--397
Natallia Katenka and
Elizaveta Levina and
George Michailidis Tracking Multiple Targets Using Binary
Decisions From Wireless Sensor Networks 398--410
Avishek Chakraborty and
Bani K. Mallick and
Ryan G. Mcclarren and
Carolyn C. Kuranz and
Derek Bingham and
Michael J. Grosskopf and
Erica M. Rutter and
Hayes F. Stripling and
R. Paul Drake Spline-Based Emulators for Radiative
Shock Experiments With Measurement Error 411--428
Curtis B. Storlie and
Sarah E. Michalak and
Heather M. Quinn and
Andrew J. Dubois and
Steven A. Wender and
David H. Dubois A Bayesian Reliability Analysis of
Neutron-Induced Errors in High
Performance Computing Hardware . . . . . 429--440
Monica Costa Dias and
Hidehiko Ichimura and
Gerard J. van den Berg Treatment Evaluation With Selective
Participation and Ineligibles . . . . . 441--455
David A. Friedenberg and
Christopher R. Genovese Straight to the Source: Detecting
Aggregate Objects in Astronomical Images
With Proper Error Control . . . . . . . 456--468
Tyler J. Vanderweele and
Guanglei Hong and
Stephanie M. Jones and
Joshua L. Brown Mediation and Spillover Effects in
Group-Randomized Trials: A Case Study of
the 4Rs Educational Intervention . . . . 469--482
Yueqing Wang and
Xin Jiang and
Bin Yu and
Ming Jiang A Hierarchical Bayesian Approach for
Aerosol Retrieval Using MISR Data . . . 483--493
Sungduk Kim and
Zhen Chen and
Zhiwei Zhang and
Bruce G. Simons-Morton and
Paul S. Albert Bayesian Hierarchical Poisson Regression
Models: An Application to a Driving
Study With Kinematic Events . . . . . . 494--503
Zahra Siddique Partially Identified Treatment Effects
Under Imperfect Compliance: The Case of
Domestic Violence . . . . . . . . . . . 504--513
Josue G. Martinez and
Kirsten M. Bohn and
Raymond J. Carroll and
Jeffrey S. Morris A Study of Mexican Free-Tailed Bat Chirp
Syllables: Bayesian Functional Mixed
Models for Nonstationary Acoustic Time
Series . . . . . . . . . . . . . . . . . 514--526
Lihui Zhao and
Lu Tian and
Tianxi Cai and
Brian Claggett and
L. J. Wei Effectively Selecting a Target
Population for a Future Comparative
Study . . . . . . . . . . . . . . . . . 527--539
Hua Zhou and
Lexin Li and
Hongtu Zhu Tensor Regression with Applications in
Neuroimaging Data Analysis . . . . . . . 540--552
Yuanjia Wang and
Huaihou Chen and
Donglin Zeng and
Christine Mauro and
Naihua Duan and
M. Katherine Shear Auxiliary Marker-Assisted Classification
in the Absence of Class Identifiers . . 553--565
Arpita Ghosh and
Fred A. Wright and
Fei Zou Unified Analysis of Secondary Traits in
Case-Control Association Studies . . . . 566--576
Ting Zhang Clustering High-Dimensional Time Series
Based on Parallelism . . . . . . . . . . 577--588
Faming Liang and
Qifan Song and
Kai Yu Bayesian Subset Modeling for
High-Dimensional Generalized Linear
Models . . . . . . . . . . . . . . . . . 589--606
J. T. Gene Hwang and
Zhigen Zhao Empirical Bayes Confidence Intervals for
Selected Parameters in High-Dimensional
Data . . . . . . . . . . . . . . . . . . 607--618
Rong Liu and
Lijian Yang and
Wolfgang K. Härdle Oracally Efficient Two-Step Estimation
of Generalized Additive Model . . . . . 619--631
Xueqin Wang and
Yunlu Jiang and
Mian Huang and
Heping Zhang Robust Variable Selection With
Exponential Squared Loss . . . . . . . . 632--643
Howard D. Bondell and
Leonard A. Stefanski Efficient Robust Regression via
Two-Stage Generalized Empirical
Likelihood . . . . . . . . . . . . . . . 644--655
Jared S. Murray and
David B. Dunson and
Lawrence Carin and
Joseph E. Lucas Bayesian Gaussian Copula Factor Models
for Mixed Data . . . . . . . . . . . . . 656--665
Bo Li and
Marc G. Genton Nonparametric Identification of Copula
Structures . . . . . . . . . . . . . . . 666--675
Hohsuk Noh and
Anouar El Ghouch and
Taoufik Bouezmarni Copula-Based Regression Estimation and
Inference . . . . . . . . . . . . . . . 676--688
Dong Hwan Oh and
Andrew J. Patton Simulated Method of Moments Estimation
for Copula-Based Multivariate Models . . 689--700
Chunpeng Fan and
Jason P. Fine Linear Transformation Model With
Parametric Covariate Transformations . . 701--712
Yunzhang Zhu and
Xiaotong Shen and
Wei Pan Simultaneous Grouping Pursuit and
Feature Selection Over an Undirected
Graph . . . . . . . . . . . . . . . . . 713--725
Zhou Zhou Heteroscedasticity and Autocorrelation
Robust Structural Change Detection . . . 726--740
Lawrence D. Brown and
Eitan Greenshtein and
Ya'cov Ritov The Poisson Compound Decision Problem
Revisited . . . . . . . . . . . . . . . 741--749
Anonymous Book Reviews . . . . . . . . . . . . . . 750--754
Matt Taddy Multinomial Inverse Regression for Text
Analysis . . . . . . . . . . . . . . . . 755--770
Justin Grimmer Comment . . . . . . . . . . . . . . . . 770--771
David M. Blei Comment . . . . . . . . . . . . . . . . 771--772
Matt Taddy Rejoinder: Efficiency and Structure in
MNIR . . . . . . . . . . . . . . . . . . 772--774
Juhee Lee and
Peter Müller and
Yitan Zhu and
Yuan Ji A Nonparametric Bayesian Model for Local
Clustering With Application to
Proteomics . . . . . . . . . . . . . . . 775--788
Peter B. Gilbert and
Bryan E. Shepherd and
Michael G. Hudgens Sensitivity Analysis of Per-Protocol
Time-to-Event Treatment Efficacy in
Randomized Clinical Trials . . . . . . . 789--800
James Raymer and
Arkadiusz Wi\'sniowski and
Jonathan J. Forster and
Peter W. F. Smith and
Jakub Bijak Integrated Modeling of European
Migration . . . . . . . . . . . . . . . 801--819
Brian J. Reich and
Dipankar Bandyopadhyay and
Howard D. Bondell A Nonparametric Spatial Model for
Periodontal Data With Nonrandom
Missingness . . . . . . . . . . . . . . 820--831
Jason L. Morrissette and
Michael P. Mcdermott Estimation and Inference Concerning
Ordered Means in Analysis of Covariance
Models With Interactions . . . . . . . . 832--839
Roland Langrock and
David L. Borchers and
Hans J. Skaug Markov-Modulated Nonhomogeneous Poisson
Processes for Modeling Detections in
Surveys of Marine Mammal Abundance . . . 840--851
Jonathan Rougier and
Michael Goldstein and
Leanna House Second-Order Exchangeability Analysis
for Multimodel Ensembles . . . . . . . . 852--863
Tao Yu and
Pengfei Li Spatial Shrinkage Estimation of
Diffusion Tensors on Diffusion-Weighted
Imaging Data . . . . . . . . . . . . . . 864--875
Francesco C. Stingo and
Michele Guindani and
Marina Vannucci and
Vince D. Calhoun An Integrative Bayesian Modeling
Approach to Imaging Genetics . . . . . . 876--891
Jin Zhang and
Thomas M. Braun A Phase I Bayesian Adaptive Design to
Simultaneously Optimize Dose and
Schedule Assignments Both Between and
Within Patients . . . . . . . . . . . . 892--901
Jerry Q. Cheng and
Minge Xie and
Rong Chen and
Fred Roberts A Latent Source Model to Detect Multiple
Spatial Clusters With Application in a
Mobile Sensor Network for Surveillance
of Nuclear Materials . . . . . . . . . . 902--913
Yichen Qin and
Carey E. Priebe Maximum $ L_q $-Likelihood Estimation
via the Expectation-Maximization
Algorithm: A Robust Estimation of
Mixture Models . . . . . . . . . . . . . 914--928
Mian Huang and
Runze Li and
Shaoli Wang Nonparametric Mixture of Regression
Models . . . . . . . . . . . . . . . . . 929--941
Mahbubul Majumder and
Heike Hofmann and
Dianne Cook Validation of Visual Statistical
Inference, Applied to Linear Models . . 942--956
Susan Wei and
Michael R. Kosorok Latent Supervised Learning . . . . . . . 957--970
Colin O. Wu and
Xin Tian Nonparametric Estimation of Conditional
Distributions and Rank-Tracking
Probabilities With Time-Varying
Transformation Models in Longitudinal
Studies . . . . . . . . . . . . . . . . 971--982
Xiaoke Zhang and
Byeong U. Park and
Jane-ling Wang Time-Varying Additive Models for
Longitudinal Data . . . . . . . . . . . 983--998
P. Richard Hahn and
Carlos M. Carvalho and
Sayan Mukherjee Partial Factor Modeling:
Predictor-Dependent Shrinkage for Linear
Regression . . . . . . . . . . . . . . . 999--1008
Xiaolei Xun and
Jiguo Cao and
Bani Mallick and
Arnab Maity and
Raymond J. Carroll Parameter Estimation of Partial
Differential Equation Models . . . . . . 1009--1020
Stéphane Guerrier and
Jan Skaloud and
Yannick Stebler and
Maria-Pia Victoria-Feser Wavelet-Variance-Based Estimation for
Composite Stochastic Processes . . . . . 1021--1030
Cheryl J. Flynn and
Clifford M. Hurvich and
Jeffrey S. Simonoff Efficiency for Regularization Parameter
Selection in Penalized Likelihood
Estimation of Misspecified Models . . . 1031--1043
Yingying Fan and
Jinchi Lv Asymptotic Equivalence of Regularization
Methods in Thresholded Parameter Space 1044--1061
Huixia Judy Wang and
Deyuan Li Estimation of Extreme Conditional
Quantiles Through Power Transformation 1062--1074
Antonio F. Galvao and
Carlos Lamarche and
Luiz Renato Lima Estimation of Censored Quantile
Regression for Panel Data With Fixed
Effects . . . . . . . . . . . . . . . . 1075--1089
Yanyuan Ma and
Mijeong Kim and
Marc G. Genton Semiparametric Efficient and Robust
Estimation of an Unknown Symmetric
Population Under Arbitrary Sample
Selection Bias . . . . . . . . . . . . . 1090--1104
Davy Paindaveine and
Germain Van Bever From Depth to Local Depth: A Focus on
Centrality . . . . . . . . . . . . . . . 1105--1119
Fabrizia Mealli and
Barbara Pacini Using Secondary Outcomes to Sharpen
Inference in Randomized Experiments With
Noncompliance . . . . . . . . . . . . . 1120--1131
Anonymous Book Reviews . . . . . . . . . . . . . . 1132--1137
Ryan Martin and
Chuanhai Liu Correction . . . . . . . . . . . . . . . 1138--1139
Marie Davidian The International Year of Statistics: A
Celebration and A Call to Action . . . . 1141--1146
Blakeley B. McShane and
Shane T. Jensen and
Allan I. Pack and
Abraham J. Wyner Statistical Learning With Time Series
Dependence: An Application to Scoring
Sleep in Mice . . . . . . . . . . . . . 1147--1162
Kerby Shedden Comment . . . . . . . . . . . . . . . . 1162--1163
Donglin Zeng and
Yuanjia Wang Comment . . . . . . . . . . . . . . . . 1164--1164
Blakeley B. McShane and
Shane T. Jensen and
Allan I. Pack and
Abraham J. Wyner Rejoinder . . . . . . . . . . . . . . . 1165--1172
Tao Liu and
Joseph W. Hogan and
Lisa Wang and
Shangxuan Zhang and
Rami Kantor Optimal Allocation of Gold Standard
Testing Under Constrained Availability:
Application to Assessment of HIV
Treatment Failure . . . . . . . . . . . 1173--1188
Takahiro Hoshino Semiparametric Bayesian Estimation for
Marginal Parametric Potential Outcome
Modeling: Application to Causal
Inference . . . . . . . . . . . . . . . 1189--1204
Malka Gorfine and
Li Hsu and
Giovanni Parmigiani Frailty Models for Familial Risk With
Application to Breast Cancer . . . . . . 1205--1215
Huaihou Chen and
Yuanjia Wang and
Myunghee Cho Paik and
H. Alex Choi A Marginal Approach to Reduced-Rank
Penalized Spline Smoothing With
Application to Multilevel Functional
Data . . . . . . . . . . . . . . . . . . 1216--1229
Shane T. Jensen and
Jared Park and
Alexander F. Braunstein and
Jon Mcauliffe Bayesian Hierarchical Modeling of the
HIV Evolutionary Response to Therapy . . 1230--1242
Matias D. Cattaneo and
Richard K. Crump and
Michael Jansson Generalized Jackknife Estimators of
Weighted Average Derivatives . . . . . . 1243--1256
Donglin Zeng Comment . . . . . . . . . . . . . . . . 1257--1258
Holger Dette Comment . . . . . . . . . . . . . . . . 1258--1260
Enno Mammen Comment . . . . . . . . . . . . . . . . 1260--1262
Xiaohong Chen Comment . . . . . . . . . . . . . . . . 1262--1264
Matias D. Cattaneo and
Richard K. Crump and
Michael Jansson Rejoinder . . . . . . . . . . . . . . . 1265--1268
Aurore Delaigle and
Peter Hall Classification Using Censored Functional
Data . . . . . . . . . . . . . . . . . . 1269--1283
Yehua Li and
Naisyin Wang and
Raymond J. Carroll Selecting the Number of Principal
Components in Functional Data . . . . . 1284--1294
Jingfei Zhang and
Yuguo Chen Sampling for Conditional Inference on
Network Data . . . . . . . . . . . . . . 1295--1307
Lisha Chen and
Winston Wei Dou and
Zhihua Qiao Ensemble Subsampling for Imbalanced
Multivariate Two-Sample Tests . . . . . 1308--1323
Tsuyoshi Kunihama and
David B. Dunson Bayesian Modeling of Temporal Dependence
in Large Sparse Contingency Tables . . . 1324--1338
Nicholas G. Polson and
James G. Scott and
Jesse Windle Bayesian Inference for Logistic Models
Using Pólya-Gamma Latent Variables . . . 1339--1349
Wentao Li and
Zhiqiang Tan and
Rong Chen Two-Stage Importance Sampling With
Mixture Proposals . . . . . . . . . . . 1350--1365
Jian Zhang Epistatic Clustering: A Model-Based
Approach for Identifying Links Between
Clusters . . . . . . . . . . . . . . . . 1366--1384
Sanat K. Sarkar and
Jingjing Chen and
Wenge Guo Multiple Testing in a Two-Stage Adaptive
Design With Combination Tests
Controlling FDR . . . . . . . . . . . . 1385--1401
Luo Lu and
Hui Jiang and
Wing H. Wong Multivariate Density Estimation by
Bayesian Sequential Partitioning . . . . 1402--1410
Min Yang and
Stefanie Biedermann and
Elina Tang On Optimal Designs for Nonlinear Models:
A General and Efficient Algorithm . . . 1411--1420
Ming-yen Cheng and
Hau-tieng Wu Local Linear Regression on Manifolds and
Its Geometric Interpretation . . . . . . 1421--1434
Shelby J. Haberman and
Sandip Sinharay Generalized Residuals for General Models
for Contingency Tables With Application
to Item Response Theory . . . . . . . . 1435--1444
Bin Zhu and
David B. Dunson Locally Adaptive Bayes Nonparametric
Regression via Nested Gaussian Processes 1445--1456
Dylan S. Small and
Jing Cheng and
M. Elizabeth Halloran and
Paul R. Rosenbaum Case Definition and Design Sensitivity 1457--1468
Ying Hung and
Yijie Wang and
Veronika Zarnitsyna and
Cheng Zhu and
C. F. Jeff Wu Hidden Markov Models With Applications
in Cell Adhesion Experiments . . . . . . 1469--1479
Marina Bogomolov and
Ruth Heller Discovering Findings That Replicate From
a Primary Study of High Dimension to a
Follow-Up Study . . . . . . . . . . . . 1480--1492
Li Ma Adaptive Testing of Conditional
Association Through Recursive Mixture
Modeling . . . . . . . . . . . . . . . . 1493--1505
Young Min Kim and
Soumendra N. Lahiri and
Daniel J. Nordman A Progressive Block Empirical Likelihood
Method for Time Series . . . . . . . . . 1506--1516
Yuanshan Wu and
Guosheng Yin Cure Rate Quantile Regression for
Censored Data With a Survival Fraction 1517--1531
Tianxi Cai and
Yingye Zheng Resampling Procedures for Making
Inference Under Nested Case-Control
Studies . . . . . . . . . . . . . . . . 1532--1544
Anonymous Book Reviews . . . . . . . . . . . . . . 1545--1554
Anonymous Editorial Collaborators . . . . . . . . 1555--1561
Anonymous Editorial Board EOV . . . . . . . . . . ebi--ebi
Luo Xiao and
Sally W. Thurston and
David Ruppert and
Tanzy M. T. Love and
Philip W. Davidson Bayesian Models for Multiple Outcomes in
Domains With Application to the
Seychelles Child Development Study . . . 1--10
Hui Huang and
Xiaomei Ma and
Rasmus Waagepetersen and
Theodore R. Holford and
Rong Wang and
Harvey Risch and
Lloyd Mueller and
Yongtao Guan A New Estimation Approach for Combining
Epidemiological Data From Multiple
Sources . . . . . . . . . . . . . . . . 11--23
Marco Carone and
Masoud Asgharian and
Nicholas P. Jewell Estimating the Lifetime Risk of Dementia
in the Canadian Elderly Population Using
Cross-Sectional Cohort Survival Data . . 24--35
Patrick M. Joyce and
Donald Malec and
Roderick J. A. Little and
Aaron Gilary and
Alfredo Navarro and
Mark E. Asiala Statistical Modeling Methodology for the
Voting Rights Act Section 203 Language
Assistance Determinations . . . . . . . 36--47
Liqun Xi and
Kristin Brogaard and
Qingyang Zhang and
Bruce Lindsay and
Jonathan Widom and
Ji-Ping Wang A Locally Convoluted Cluster Model for
Nucleosome Positioning Signals in
Chemical Maps . . . . . . . . . . . . . 48--62
Lucas Janson and
Bala Rajaratnam A Methodology for Robust Multiproxy
Paleoclimate Reconstructions and
Modeling of Temperature Conditional
Quantiles . . . . . . . . . . . . . . . 63--77
Naim Rashid and
Wei Sun and
Joseph G. Ibrahim Some Statistical Strategies for DAE-seq
Data Analysis: Variable Selection and
Modeling Dependencies Among Observations 78--94
Corwin Matthew Zigler and
Francesca Dominici Uncertainty in Propensity Score
Estimation: Bayesian Methods for
Variable Selection and Model-Averaged
Causal Effects . . . . . . . . . . . . . 95--107
Ziyue Liu and
Anne R. Cappola and
Leslie J. Crofford and
Wensheng Guo Modeling Bivariate Longitudinal Hormone
Profiles by Hierarchical State Space
Models . . . . . . . . . . . . . . . . . 108--118
Yinshan Zhao and
David K. B. Li and
A. John Petkau and
Andrew Riddehough and
Anthony Traboulsee Detection of Unusual Increases in MRI
Lesion Counts in Individual Multiple
Sclerosis Patients . . . . . . . . . . . 119--132
Ben B. Hansen and
Paul R. Rosenbaum and
Dylan S. Small Clustered Treatment Assignments and
Sensitivity to Unmeasured Biases in
Observational Studies . . . . . . . . . 133--144
Genevera I. Allen and
Logan Grosenick and
Jonathan Taylor A Generalized Least-Square Matrix
Decomposition . . . . . . . . . . . . . 145--159
François Portier and
Bernard Delyon Bootstrap Testing of the Rank of a
Matrix via Least-Squared Constrained
Estimation . . . . . . . . . . . . . . . 160--172
Nicolas J-B. Brunel and
Quentin Clairon and
Florence d'Alché-Buc Parametric Estimation of Ordinary
Differential Equations With
Orthogonality Conditions . . . . . . . . 173--185
Alan Huang Joint Estimation of the Mean and Error
Distribution in Generalized Linear
Models . . . . . . . . . . . . . . . . . 186--196
Christina D. Wang and
Per A. Mykland The Estimation of Leverage Effect With
High-Frequency Data . . . . . . . . . . 197--215
Eun Ryung Lee and
Hohsuk Noh and
Byeong U. Park Model Selection via Bayesian Information
Criterion for Quantile Regression Models 216--229
Ruosha Li and
Yu Cheng and
Jason P. Fine Quantile Association Regression Models 230--242
Ching-Kang Ing and
Chiao-Yi Yang Predictor Selection for Positive
Autoregressive Processes . . . . . . . . 243--253
Tomohiro Ando and
Ker-Chau Li A Model-Averaging Approach for
High-Dimensional Regression . . . . . . 254--265
Jingyuan Liu and
Runze Li and
Rongling Wu Feature Selection for Varying
Coefficient Models With
Ultrahigh-Dimensional Covariates . . . . 266--274
Fang Han and
Han Liu Scale-Invariant Sparse PCA on
High-Dimensional Meta-Elliptical Data 275--287
Lan Liu and
Michael G. Hudgens Large Sample Randomization Inference of
Causal Effects in the Presence of
Interference . . . . . . . . . . . . . . 288--301
A. C. Davison and
D. A. S. Fraser and
N. Reid and
N. Sartori Accurate Directional Inference for
Vector Parameters in Linear Exponential
Families . . . . . . . . . . . . . . . . 302--314
Simon Barthelmé and
Nicolas Chopin Expectation Propagation for
Likelihood-Free Inference . . . . . . . 315--333
David S. Matteson and
Nicholas A. James A Nonparametric Approach for Multiple
Change Point Analysis of Multivariate
Data . . . . . . . . . . . . . . . . . . 334--345
Gery Geenens Probit Transformation for Kernel Density
Estimation on the Unit Interval . . . . 346--358
Kenji Fukumizu and
Chenlei Leng Gradient-Based Kernel Dimension
Reduction for Regression . . . . . . . . 359--370
Donglin Zeng and
D. Y. Lin Efficient Estimation of Semiparametric
Transformation Models for Two-Phase
Cohort Studies . . . . . . . . . . . . . 371--383
Layla Parast and
Lu Tian and
Tianxi Cai Landmark Estimation of Survival and
Treatment Effect in a Randomized
Clinical Trial . . . . . . . . . . . . . 384--394
Bruce G. Lindsay and
Marianthi Markatou and
Surajit Ray Kernels, Degrees of Freedom, and Power
Properties of Quadratic Distance
Goodness-of-Fit Tests . . . . . . . . . 395--410
Gerda Claeskens and
Mia Hubert and
Leen Slaets and
Kaveh Vakili Multivariate Functional Halfspace Depth 411--423
Victor M. Panaretos and
Tung Pham and
Zhigang Yao Principal Flows . . . . . . . . . . . . 424--436
Suprateek Kundu and
David B. Dunson Bayes Variable Selection in
Semiparametric Linear Models . . . . . . 437--447
Anonymous Book Reviews . . . . . . . . . . . . . . 448--454
Yongling Xiao and
Michal Abrahamowicz and
Erica E. M. Moodie and
Rainer Weber and
James Young Flexible Marginal Structural Models for
Estimating the Cumulative Effect of a
Time-Dependent Treatment on the Hazard:
Reassessing the Cardiovascular Risks of
Didanosine Treatment in the Swiss HIV
Cohort Study . . . . . . . . . . . . . . 455--464
Eduardo S. Ayra and
David Ríos Insua and
Javier Cano To Fuel or Not to Fuel? Is that the
Question? . . . . . . . . . . . . . . . 465--476
Isadora Antoniano-Villalobos and
Sara Wade and
Stephen G. Walker A Bayesian Nonparametric Regression
Model With Normalized Weights: A Study
of Hippocampal Atrophy in Alzheimer's
Disease . . . . . . . . . . . . . . . . 477--490
Daniel M. Percival and
Donald B. Percival and
Donald W. Denbo and
Edison Gica and
Paul Y. Huang and
Harold O. Mofjeld and
Michael C. Spillane Automated Tsunami Source Modeling Using
the Sweeping Window Positive Elastic Net 491--499
Carl Schmertmann and
Emilio Zagheni and
Joshua R. Goldstein and
Mikko Myrskylä Bayesian Forecasting of Cohort Fertility 500--513
Dandan Liu and
Yingye Zheng and
Ross L. Prentice and
Li Hsu Estimating Risk With Time-to-Event Data:
An Application to the Women's Health
Initiative . . . . . . . . . . . . . . . 514--524
Ick Hoon Jin and
Suyu Liu and
Peter F. Thall and
Ying Yuan Using Data Augmentation to Facilitate
Conduct of Phase I--II Clinical Trials
With Delayed Outcomes . . . . . . . . . 525--536
Haim Y. Bar and
James G. Booth and
Martin T. Wells A Bivariate Model for Simultaneous
Testing in Bioinformatics Data . . . . . 537--547
Xiaosun Lu and
J. S. Marron and
Perry Haaland Object-Oriented Data Analysis of Cell
Images . . . . . . . . . . . . . . . . . 548--559
Kun Chen and
Kung-Sik Chan and
Nils Chr. Stenseth Source--Sink Reconstruction Through
Regularized Multicomponent Regression
Analysis-With Application to Assessing
Whether North Sea Cod Larvae Contributed
to Local Fjord Cod in Skagerrak . . . . 560--573
L. A. Stefanski and
Yichao Wu and
Kyle White Variable Selection in Nonparametric
Classification Via Measurement Error
Model Selection Likelihoods . . . . . . 574--589
Ngai Hang Chan and
Chun Yip Yau and
Rong-Mao Zhang Group LASSO for Structural Break Time
Series . . . . . . . . . . . . . . . . . 590--599
Guangming Pan and
Jiti Gao and
Yanrong Yang Testing Independence Among a Large
Number of High-Dimensional Random
Vectors . . . . . . . . . . . . . . . . 600--612
Giorgos Minas and
John A. D. Aston and
Nigel Stallard Adaptive Multivariate Global Testing . . 613--623
Jing Lei Adaptive Global Testing for Functional
Linear Models . . . . . . . . . . . . . 624--634
Xu Liu and
Hongmei Jiang and
Yong Zhou Local Empirical Likelihood Inference for
Varying-Coefficient Density-Ratio Models
Based on Case-Control Data . . . . . . . 635--646
Bruno Scarpa and
David B. Dunson Enriched Stick-Breaking Processes for
Functional Data . . . . . . . . . . . . 647--660
Shuzhuan Zheng and
Lijian Yang and
Wolfgang K. Härdle A Smooth Simultaneous Confidence
Corridor for the Mean of Sparse
Functional Data . . . . . . . . . . . . 661--673
Roger Koenker and
Ivan Mizera Convex Optimization, Shape Constraints,
Compound Decisions, and Empirical Bayes
Rules . . . . . . . . . . . . . . . . . 674--685
Hua Zhou and
Yichao Wu A Generic Path Algorithm for Regularized
Statistical Estimation . . . . . . . . . 686--699
Hulin Wu and
Tao Lu and
Hongqi Xue and
Hua Liang Sparse Additive Ordinary Differential
Equations for Dynamic Gene Regulatory
Network Modeling . . . . . . . . . . . . 700--716
Aurore Delaigle and
Peter Hall Parametrically Assisted Nonparametric
Estimation of a Density in the
Deconvolution Problem . . . . . . . . . 717--729
Forrest W. Crawford and
Vladimir N. Minin and
Marc A. Suchard Estimation for General Birth--Death
Processes . . . . . . . . . . . . . . . 730--747
Marco Di Marzio and
Agnese Panzera and
Charles C. Taylor Nonparametric Regression for Spherical
Data . . . . . . . . . . . . . . . . . . 748--763
Miguel de Carvalho and
Anthony C. Davison Spectral Density Ratio Models for
Multivariate Extremes . . . . . . . . . 764--776
Chao Wang and
Heng Liu and
Jian-Feng Yao and
Richard A. Davis and
Wai Keung Li Self-Excited Threshold Poisson
Autoregression . . . . . . . . . . . . . 777--787
Zongwu Cai and
Xian Wang Selection of Mixed Copula Model via
Penalized Likelihood . . . . . . . . . . 788--801
Antonio Lijoi and
Bernardo Nipoti A Class of Hazard Rate Mixtures for
Combining Survival Data From Different
Experiments . . . . . . . . . . . . . . 802--814
R. Dennis Cook and
Xin Zhang Fused Estimators of the Central Subspace
in Sufficient Dimension Reduction . . . 815--827
Veronika Rocková and
Edward I. George EMVS: The EM Approach to Bayesian
Variable Selection . . . . . . . . . . . 828--846
Faming Liang and
Yichen Cheng and
Guang Lin Simulated Stochastic Approximation
Annealing for Global Optimization With a
Square-Root Cooling Schedule . . . . . . 847--863
Anonymous Book Reviews . . . . . . . . . . . . . . 864--870
L. Chen and
W. W. Dou and
Z. Qiao ``Ensemble Subsampling for Imbalanced
Multivariate Two-Sample Tests,'' Chen,
L., Dou, W. W., and Qiao, Z. (2013), \em
Journal of the American Statistical
Association, \bf 108, 1308--1323 . . . . 871--871
Kassandra Fronczyk and
Athanasios Kottas A Bayesian Nonparametric Modeling
Framework for Developmental Toxicity
Studies . . . . . . . . . . . . . . . . 873--888
Peter Müller and
Fernando Quintana Comment . . . . . . . . . . . . . . . . 889--889
David B. Dunson Comment . . . . . . . . . . . . . . . . 890--891
Kassandra Fronczyk and
Athanasios Kottas Rejoinder . . . . . . . . . . . . . . . 891--893
Matthew W. Wheeler and
David B. Dunson and
Sudha P. Pandalai and
Brent A. Baker and
Amy H. Herring Mechanistic Hierarchical Gaussian
Processes . . . . . . . . . . . . . . . 894--904
Yuan Jiang and
Ni Li and
Heping Zhang Identifying Genetic Variants for
Addiction via Propensity Score Adjusted
Generalized Kendall's Tau . . . . . . . 905--930
Peter F. Thall and
Hoang Q. Nguyen and
Sarah Zohar and
Pierre Maton Optimizing Sedative Dose in Preterm
Infants Undergoing Treatment for
Respiratory Distress Syndrome . . . . . 931--943
Radu Herbei and
L. Mark Berliner Estimating Ocean Circulation: An MCMC
Approach With Approximated Likelihoods
via the Bernoulli Factory . . . . . . . 944--954
Celine Marielle Laffont and
Marc Vandemeulebroecke and
Didier Concordet Multivariate Analysis of Longitudinal
Ordinal Data With Mixed Effects Models,
With Application to Clinical Outcomes in
Osteoarthritis . . . . . . . . . . . . . 955--966
Michael E. Sobel and
Martin A. Lindquist Causal Inference for fMRI Time Series
Data With Systematic Errors of
Measurement in a Balanced On/Off Study
of Social Evaluative Threat . . . . . . 967--976
Hongtu Zhu and
Zakaria Khondker and
Zhaohua Lu and
Joseph G. Ibrahim Bayesian Generalized Low Rank Regression
Models for Neuroimaging Phenotypes and
Genetic Markers . . . . . . . . . . . . 977--990
Bradley Efron Estimation and Accuracy After Model
Selection . . . . . . . . . . . . . . . 991--1007
Lan Wang and
Ben Sherwood and
Runze Li Comment . . . . . . . . . . . . . . . . 1007--1010
Dimitris N. Politis Comment . . . . . . . . . . . . . . . . 1010--1013
Shuva Gupta and
S. N. Lahiri Comment . . . . . . . . . . . . . . . . 1013--1015
Andrew Gelman and
Aki Vehtari Comment . . . . . . . . . . . . . . . . 1015--1016
Nils Lid Hjort Comment . . . . . . . . . . . . . . . . 1017--1020
Bradley Efron Rejoinder . . . . . . . . . . . . . . . 1021--1022
Ke Deng and
Simeng Han and
Kate J. Li and
Jun S. Liu Bayesian Aggregation of Order-Based Rank
Data . . . . . . . . . . . . . . . . . . 1023--1039
Andrew J. Womack and
Luis León-Novelo and
George Casella Inference From Intrinsic Bayes'
Procedures Under Model Selection and
Uncertainty . . . . . . . . . . . . . . 1040--1053
T. Tony Cai and
Mark Low and
Zongming Ma Adaptive Confidence Bands for
Nonparametric Regression Functions . . . 1054--1070
Marc Hallin and
Davy Paindaveine and
Thomas Verdebout Efficient $R$-Estimation of Principal
and Common Principal Components . . . . 1071--1083
Hongtu Zhu and
Jianqing Fan and
Linglong Kong Spatially Varying Coefficient Model for
Neuroimaging Data With Jump
Discontinuities . . . . . . . . . . . . 1084--1098
Valentin Patilea and
Hamdi Ra\"\issi Testing Second-Order Dynamics for
Autoregressive Processes in Presence of
Time-Varying Variance . . . . . . . . . 1099--1111
Andrew Harvey and
Alessandra Luati Filtering With Heavy Tails . . . . . . . 1112--1122
Bo Wang and
Jian Qing Shi Generalized Gaussian Process Regression
Model for Non-Gaussian Functional Data 1123--1133
Yong-Dao Zhou and
Hongquan Xu Space-Filling Fractional Factorial
Designs . . . . . . . . . . . . . . . . 1134--1144
Paul R. Rosenbaum Weighted $M$-statistics With Superior
Design Sensitivity in Matched
Observational Studies With Multiple
Controls . . . . . . . . . . . . . . . . 1145--1158
Peisong Han Multiply Robust Estimation in Regression
Analysis With Missing Data . . . . . . . 1159--1173
Tianle Chen and
Yuanjia Wang and
Huaihou Chen and
Karen Marder and
Donglin Zeng Targeted Local Support Vector Machine
for Age-Dependent Classification . . . . 1174--1187
Bing Li and
Hyonho Chun and
Hongyu Zhao On an Additive Semigraphoid Model for
Statistical Networks With Application to
Pathway Analysis . . . . . . . . . . . . 1188--1204
Yehua Li and
Yongtao Guan Functional Principal Component Analysis
of Spatiotemporal Point Processes With
Applications in Disease Surveillance . . 1205--1215
Michael Rosenblum and
Han Liu and
En-Hsu Yen Optimal Tests of Treatment Effects for
the Overall Population and Two
Subpopulations in Randomized Trials,
Using Sparse Linear Programming . . . . 1216--1228
Shan Luo and
Zehua Chen Sequential Lasso Cum EBIC for Feature
Selection With Ultra-High Dimensional
Feature Space . . . . . . . . . . . . . 1229--1240
Alexander Aue and
Rex C. Y. Cheung and
Thomas C. M. Lee and
Ming Zhong Segmented Model Selection in Quantile
Regression Using the Minimum Description
Length Principle . . . . . . . . . . . . 1241--1256
Chen Xu and
Jiahua Chen The Sparse MLE for Ultrahigh-Dimensional
Feature Screening . . . . . . . . . . . 1257--1269
Jianqing Fan and
Yunbei Ma and
Wei Dai Nonparametric Independence Screening in
Sparse Ultra-High-Dimensional Varying
Coefficient Models . . . . . . . . . . . 1270--1284
Ning Hao and
Hao Helen Zhang Interaction Screening for
Ultrahigh-Dimensional Data . . . . . . . 1285--1301
Xiaofeng Shao and
Jingsi Zhang Martingale Difference Correlation and
Its Use in High-Dimensional Variable
Screening . . . . . . . . . . . . . . . 1302--1318
Holger Dette and
Ria Van Hecke and
Stanislav Volgushev Some Comments on Copula-Based Regression 1319--1324
Anonymous Book Reviews . . . . . . . . . . . . . . 1325--1337
Michael R. Wierzbicki and
Li-Bing Guo and
Qing-Tao Du and
Wensheng Guo Sparse Semiparametric Nonlinear Model
With Application to Chromatographic
Fingerprints . . . . . . . . . . . . . . 1339--1349
Pang Du Comment . . . . . . . . . . . . . . . . 1349--1350
Huaihou Chen and
Donglin Zeng Comment . . . . . . . . . . . . . . . . 1350--1353
Michael R. Wierzbicki and
Li-Bing Guo and
Qing-Tao Du and
Wensheng Guo Rejoinder . . . . . . . . . . . . . . . 1353--1354
Yoonsuh Jung and
Jianhua Z. Huang and
Jianhua Hu Biomarker Detection in Association
Studies: Modeling SNPs Simultaneously
via Logistic ANOVA . . . . . . . . . . . 1355--1367
Jonathan R. Stroud and
Michael S. Johannes Bayesian Modeling and Forecasting of $
24$-Hour High-Frequency Volatility . . . 1368--1384
Dimitris Rizopoulos and
Laura A. Hatfield and
Bradley P. Carlin and
Johanna J. M. Takkenberg Combining Dynamic Predictions From Joint
Models for Longitudinal and
Time-to-Event Data Using Bayesian Model
Averaging . . . . . . . . . . . . . . . 1385--1397
Marian Farah and
Paul Birrell and
Stefano Conti and
Daniela De Angelis Bayesian Emulation and Calibration of a
Dynamic Epidemic Model for A/H1N1
Influenza . . . . . . . . . . . . . . . 1398--1411
Hui Huang and
Yehua Li and
Yongtao Guan Joint Modeling and Clustering Paired
Generalized Longitudinal Trajectories
With Application to Cocaine Abuse
Treatment Data . . . . . . . . . . . . . 1412--1424
Jonathan E. Gellar and
Elizabeth Colantuoni and
Dale M. Needham and
Ciprian M. Crainiceanu Variable-Domain Functional Regression
for Modeling ICU Data . . . . . . . . . 1425--1439
Daniel J. Graham and
Emma J. McCoy and
David A. Stephens Quantifying Causal Effects of Road
Network Capacity Expansions on Traffic
Volume and Density via a Mixed Model
Propensity Score Estimator . . . . . . . 1440--1449
Dungang Liu and
Regina Y. Liu and
Min-ge Xie Exact Meta-Analysis Approach for
Discrete Data and its Application to $ 2
\times 2 $ Tables With Rare Events . . . 1450--1465
Edoardo M. Airoldi and
Thiago Costa and
Federico Bassetti and
Fabrizio Leisen and
Michele Guindani Generalized Species Sampling Priors With
Latent Beta Reinforcements . . . . . . . 1466--1480
Kelvin Gu and
Debdeep Pati and
David B. Dunson Bayesian Multiscale Modeling of Closed
Curves in Point Clouds . . . . . . . . . 1481--1494
Qing Zhou Monte Carlo Simulation for Lasso-Type
Problems by Estimator Augmentation . . . 1495--1516
Lu Tian and
Ash A. Alizadeh and
Andrew J. Gentles and
Robert Tibshirani A Simple Method for Estimating
Interactions Between a Treatment and a
Large Number of Covariates . . . . . . . 1517--1532
Y. J. Hu and
D. Y. Lin and
W. Sun and
D. Zeng A Likelihood-Based Framework for
Association Analysis of Allele-Specific
Copy Numbers . . . . . . . . . . . . . . 1533--1545
Zudi Lu and
Dag Tjòstheim Nonparametric Estimation of Probability
Density Functions for Irregularly
Observed Spatial Data . . . . . . . . . 1546--1564
Fangpo Wang and
Alan E. Gelfand Modeling Space and Space-Time
Directional Data Using Projected
Gaussian Processes . . . . . . . . . . . 1565--1580
Matthew Plumlee Fast Prediction of Deterministic
Functions Using Sparse Grid Experimental
Designs . . . . . . . . . . . . . . . . 1581--1591
Bradley Jones and
Dibyen Majumdar Optimal Supersaturated Designs . . . . . 1592--1600
Alberto Abadie and
Guido W. Imbens and
Fanyin Zheng Inference for Misspecified Models With
Fixed Regressors . . . . . . . . . . . . 1601--1614
Michael Rosenthal and
Wei Wu and
Eric Klassen and
Anuj Srivastava Spherical Regression Models Using
Projective Linear Transformations . . . 1615--1624
Jing Ning and
Jing Qin and
Yu Shen Score Estimating Equations from Embedded
Likelihood Functions Under Accelerated
Failure Time Model . . . . . . . . . . . 1625--1635
Xiao Song and
Ching-Yun Wang Proportional Hazards Model With
Covariate Measurement Error and
Instrumental Variables . . . . . . . . . 1636--1646
Jenný Brynjarsdóttir and
L. Mark Berliner Dimension-Reduced Modeling of
Spatio-Temporal Processes . . . . . . . 1647--1659
Brian Claggett and
Minge Xie and
Lu Tian Meta-Analysis With Fixed, Unknown,
Study-Specific Parameters . . . . . . . 1660--1671
Hongyu Miao and
Hulin Wu and
Hongqi Xue Generalized Ordinary Differential
Equation Models . . . . . . . . . . . . 1672--1682
Yunzhang Zhu and
Xiaotong Shen and
Wei Pan Structural Pursuit Over Multiple
Undirected Graphs . . . . . . . . . . . 1683--1696
Markus Frölich and
Martin Huber Treatment Evaluation With Multiple
Outcome Periods Under Endogeneity and
Attrition . . . . . . . . . . . . . . . 1697--1711
Anonymous Book Reviews . . . . . . . . . . . . . . 1712--1720
Anonymous Correction . . . . . . . . . . . . . . . 1721--1721
Anonymous Editorial Collaborators . . . . . . . . 1722--1729
Anonymous Editorial Board EOV . . . . . . . . . . ebi--ebi
Nathaniel Schenker Why Your Involvement Matters . . . . . . 1--5
Zhengyi Zhou and
David S. Matteson and
Dawn B. Woodard and
Shane G. Henderson and
Athanasios C. Micheas A Spatio-Temporal Point Process Model
for Ambulance Demand . . . . . . . . . . 6--15
Xu Tang and
Fah F. Gan and
Lingyun Zhang Risk-Adjusted Cumulative Sum Charting
Procedure Based on Multiresponses . . . 16--26
Alexander M. Franks and
Gábor Csárdi and
D. Allan Drummond and
Edoardo M. Airoldi Estimating a Structured Covariance
Matrix From Multilab Measurements in
High-Throughput Biology . . . . . . . . 27--44
Antonio R. Linero and
Michael J. Daniels A Flexible Bayesian Approach to Monotone
Missing Data in Longitudinal Studies
With Nonignorable Missingness With
Application to an Acute Schizophrenia
Clinical Trial . . . . . . . . . . . . . 45--55
Giwhyun Lee and
Yu Ding and
Marc G. Genton and
Le Xie Power Curve Estimation With Multivariate
Environmental Factors for Inland and
Offshore Wind Farms . . . . . . . . . . 56--67
Curtis B. Storlie and
William A. Lane and
Emily M. Ryan and
James R. Gattiker and
David M. Higdon Calibration of Computational Models With
Categorical Parameters and Correlated
Outputs via Bayesian Smoothing Spline
ANOVA . . . . . . . . . . . . . . . . . 68--82
Kentaro Fukumoto What Happens Depends on When It Happens:
Copula-Based Ordered Event History
Analysis of Civil War Duration and
Outcome . . . . . . . . . . . . . . . . 83--92
Tingting Zhang and
Jingwei Wu and
Fan Li and
Brian Caffo and
Dana Boatman-Reich A Dynamic Directional Model for
Effective Brain Connectivity Using
Electrocorticographic (ECoG) Time Series 93--106
Weibing Huang and
Charles-Albert Lehalle and
Mathieu Rosenbaum Simulating and Analyzing Order Book
Data: The Queue-Reactive Model . . . . . 107--122
Matthew J. Heaton and
Stephan R. Sain and
Andrew J. Monaghan and
Olga V. Wilhelmi and
Mary H. Hayden An Analysis of an Incomplete Marked
Point Pattern of Heat-Related 911 Calls 123--135
J. L. Scealy and
Patrice de Caritat and
Eric C. Grunsky and
Michail T. Tsagris and
A. H. Welsh Robust Principal Component Analysis for
Power Transformed Compositional Data . . 136--148
Jianqing Fan and
Xin Tong and
Yao Zeng Multi-Agent Inference in Social
Networks: A Finite Population Learning
Approach . . . . . . . . . . . . . . . . 149--158
Christine Peterson and
Francesco C. Stingo and
Marina Vannucci Bayesian Inference of Multiple Gaussian
Graphical Models . . . . . . . . . . . . 159--174
Zheng Tracy Ke and
Jianqing Fan and
Yichao Wu Homogeneity Pursuit . . . . . . . . . . 175--194
D. L. Borchers and
B. C. Stevenson and
D. Kidney and
L. Thomas and
T. A. Marques A Unifying Model for Capture-Recapture
and Distance Sampling Surveys of
Wildlife Populations . . . . . . . . . . 195--204
Paul R. Rosenbaum Bahadur Efficiency of Sensitivity
Analyses in Observational Studies . . . 205--217
Marc Hallin and
Chintan Mehta $R$-Estimation for Asymmetric
Independent Component Analysis . . . . . 218--232
Linglong Kong and
Douglas P. Wiens Model-Robust Designs for Quantile
Regression . . . . . . . . . . . . . . . 233--245
Guodong Li and
Yang Li and
Chih-Ling Tsai Quantile Correlations and Quantile
Autoregressive Modeling . . . . . . . . 246--261
Francis K. C. Hui and
David I. Warton and
Scott D. Foster Tuning Parameter Selection for the
Adaptive Lasso Using ERIC . . . . . . . 262--269
Wei Lin and
Rui Feng and
Hongzhe Li Regularization Methods for
High-Dimensional Instrumental Variables
Regression With an Application to
Genetical Genomics . . . . . . . . . . . 270--288
Qiang Sun and
Hongtu Zhu and
Yufeng Liu and
Joseph G. Ibrahim SPReM: Sparse Projection Regression
Model For High-Dimensional Linear
Regression . . . . . . . . . . . . . . . 289--302
Juan Shen and
Xuming He Inference for Subgroup Analysis With a
Structured Logistic-Normal Mixture Model 303--312
Eben Kenah Semiparametric Relative-Risk Regression
for Infectious Disease Transmission Data 313--325
Dungang Liu and
Regina Y. Liu and
Minge Xie Multivariate Meta-Analysis of
Heterogeneous Studies Using Only Summary
Statistics: Efficiency and Robustness 326--340
Shujie Ma and
Peter X.-K. Song Varying Index Coefficient Models . . . . 341--356
Jianhua Hu and
Hongjian Zhu and
Feifang Hu A Unified Family of Covariate-Adjusted
Response-Adaptive Designs Based on
Efficiency and Ethics . . . . . . . . . 357--367
Jiejun Du and
Ian L. Dryden and
Xianzheng Huang Size and Shape Analysis of Error-Prone
Shape Data . . . . . . . . . . . . . . . 368--377
Alexander Aue and
Diogo Dubart Norinho and
Siegfried Hörmann On the Prediction of Stationary
Functional Time Series . . . . . . . . . 378--392
Jessica Minnier and
Ming Yuan and
Jun S. Liu and
Tianxi Cai Risk Classification With an Adaptive
Naive Bayes Kernel Machine Model . . . . 393--404
Nadja Klein and
Thomas Kneib and
Stefan Lang Bayesian Generalized Additive Models for
Location, Scale, and Shape for
Zero-Inflated and Overdispersed Count
Data . . . . . . . . . . . . . . . . . . 405--419
Efstathia Bura and
Liliana Forzani Sufficient Reductions in Regressions
With Elliptically Contoured Inverse
Predictors . . . . . . . . . . . . . . . 420--434
P. Richard Hahn and
Carlos M. Carvalho Decoupling Shrinkage and Selection in
Bayesian Linear Models: A Posterior
Summary Perspective . . . . . . . . . . 435--448
Anonymous Book Reviews . . . . . . . . . . . . . . 449--456
Stephen E. Fienberg and
James S. Hodges and
Liying Luo Letter To the Editor . . . . . . . . . . 457--457
Y. Claire Yang and
Kenneth C. Land Reply . . . . . . . . . . . . . . . . . 457--457
Wenjiang J. Fu Reply . . . . . . . . . . . . . . . . . 458--458
James G. Scott and
Ryan C. Kelly and
Matthew A. Smith and
Pengcheng Zhou and
Robert E. Kass False Discovery Rate Regression: An
Application to Neural Synchrony
Detection in Primary Visual Cortex . . . 459--471
Xiangrong Kong and
Mei-Cheng Wang and
Ronald Gray Analysis of Longitudinal Multivariate
Outcome Data From Couples Cohort
Studies: Application to HPV Transmission
Dynamics . . . . . . . . . . . . . . . . 472--485
Jie Li and
Yili Hong and
Ram Thapa and
Harold E. Burkhart Survival Analysis of Loblolly Pine Trees
With Spatially Correlated Random Effects 486--502
Yanxun Xu and
Peter Müller and
Yuan Yuan and
Kamalakar Gulukota and
Yuan Ji MAD Bayes for Tumor
Heterogeneity-Feature Allocation With
Exponential Family Sampling . . . . . . 503--514
Samuel D. Pimentel and
Rachel R. Kelz and
Jeffrey H. Silber and
Paul R. Rosenbaum Large, Sparse Optimal Matching With
Refined Covariate Balance in an
Observational Study of the Health
Outcomes Produced by New Surgeons . . . 515--527
Hui Yao and
Sungduk Kim and
Ming-Hui Chen and
Joseph G. Ibrahim and
Arvind K. Shah and
Jianxin Lin Bayesian Inference for Multivariate
Meta-Regression With a Partially
Observed Within-Study Sample Covariance
Matrix . . . . . . . . . . . . . . . . . 528--544
P. Z. Hadjipantelis and
J. A. D. Aston and
H. G. Müller and
J. P. Evans Unifying Amplitude and Phase Analysis: A
Compositional Data Approach to
Functional Multivariate Mixed-Effects
Modeling of Mandarin Chinese . . . . . . 545--559
Ran Tao and
Donglin Zeng and
Nora Franceschini and
Kari E. North and
Eric Boerwinkle and
Dan-Yu Lin Analysis of Sequence Data Under
Multivariate Trait-Dependent Sampling 560--572
Bradley J. Barney and
Federica Amici and
Filippo Aureli and
Josep Call and
Valen E. Johnson Joint Bayesian Modeling of Binomial and
Rank Data for Primate Cognition . . . . 573--582
Ying-Qi Zhao and
Donglin Zeng and
Eric B. Laber and
Michael R. Kosorok New Statistical Learning Methods for
Estimating Optimal Dynamic Treatment
Regimes . . . . . . . . . . . . . . . . 583--598
R. Dennis Cook and
Xin Zhang Foundations for Envelope Models and
Methods . . . . . . . . . . . . . . . . 599--611
C. F. Jeff Wu Post-Fisherian Experimentation: From
Physical to Virtual . . . . . . . . . . 612--620
Sy Han Chiou and
Sangwook Kang and
Jun Yan Semiparametric Accelerated Failure Time
Modeling for Clustered Failure Times
From Stratified Sampling . . . . . . . . 621--629
Hengjian Cui and
Runze Li and
Wei Zhong Model-Free Feature Screening for
Ultrahigh Dimensional Discriminant
Analysis . . . . . . . . . . . . . . . . 630--641
Bo Jiang and
Chao Ye and
Jun S. Liu Nonparametric $K$-Sample Tests via
Dynamic Slicing . . . . . . . . . . . . 642--653
Philip Preuss and
Ruprecht Puchstein and
Holger Dette Detection of Multiple Structural Breaks
in Multivariate Time Series . . . . . . 654--668
Wei Ma and
Feifang Hu and
Lixin Zhang Testing Hypotheses of Covariate-Adaptive
Randomized Clinical Trials . . . . . . . 669--680
Grace Y. Yi and
Yanyuan Ma and
Donna Spiegelman and
Raymond J. Carroll Functional and Structural Methods With
Mixed Measurement Error and
Misclassification in Covariates . . . . 681--696
Catalina A. Vallejos and
Mark F. J. Steel Objective Bayesian Survival Analysis
Using Shape Mixtures of Log-Normal
Distributions . . . . . . . . . . . . . 697--710
Juhee Lee and
Peter F. Thall and
Yuan Ji and
Peter Müller Bayesian Dose-Finding in Two Treatment
Cycles Based on the Joint Utility of
Efficacy and Toxicity . . . . . . . . . 711--722
Xuerong Chen and
Alan T. K. Wan and
Yong Zhou Efficient Quantile Regression Analysis
With Missing Observations . . . . . . . 723--741
Nikolaos Sgouropoulos and
Qiwei Yao and
Claudia Yastremiz Matching a Distribution by Matching
Quantiles Estimation . . . . . . . . . . 742--759
Randy C. S. Lai and
Jan Hannig and
Thomas C. M. Lee Generalized Fiducial Inference for
Ultrahigh-Dimensional Regression . . . . 760--772
Kuangyu Wen and
Ximing Wu An Improved Transformation-Based Kernel
Estimator of Densities on the Unit
Interval . . . . . . . . . . . . . . . . 773--783
Ke Zhu and
Shiqing Ling LADE-Based Inference for ARMA Models
With Unspecified and Heavy-Tailed
Heteroscedastic Noises . . . . . . . . . 784--794
Li Ma Scalable Bayesian Model Averaging
Through Local Information Propagation 795--809
Harry Crane Clustering from Categorical Data
Sequences . . . . . . . . . . . . . . . 810--823
Peter Radchenko and
Xinghao Qiao and
Gareth M. James Index Models for Sparsely Sampled
Functional Data . . . . . . . . . . . . 824--836
Karl Bruce Gregory and
Raymond J. Carroll and
Veerabhadran Baladandayuthapani and
Soumendra N. Lahiri A Two-Sample Test for Equality of Means
in High Dimension . . . . . . . . . . . 837--849
Yunxiao Chen and
Jingchen Liu and
Gongjun Xu and
Zhiliang Ying Statistical Analysis of $Q$-Matrix Based
Diagnostic Classification Models . . . . 850--866
Shaoting Li and
Jiahua Chen and
Jianhua Guo and
Bing-Yi Jing and
Shui-Ying Tsang and
Hong Xue Likelihood Ratio Test for Multi-Sample
Mixture Model and Its Application to
Genetic Imprinting . . . . . . . . . . . 867--877
Anonymous Book Reviews . . . . . . . . . . . . . . 878--888
Mariel M. Finucane and
Christopher J. Paciorek and
Gretchen A. Stevens and
Majid Ezzati Semiparametric Bayesian Density
Estimation With Disparate Data Sources:
A Meta-Analysis of Global Childhood
Undernutrition . . . . . . . . . . . . . 889--901
Christopher K. Wikle and
Scott H. Holan Comment . . . . . . . . . . . . . . . . 901--903
Jim Hodges Comment . . . . . . . . . . . . . . . . 903--905
Mariel M. Finucane and
Christopher J. Paciorek and
Gretchen A. Stevens and
Majid Ezzati Rejoinder . . . . . . . . . . . . . . . 906--909
José R. Zubizarreta Stable Weights that Balance Covariates
for Estimation With Incomplete Outcome
Data . . . . . . . . . . . . . . . . . . 910--922
Beom Seuk Hwang and
Zhen Chen An Integrated Bayesian Nonparametric
Approach for Stochastic and Variability
Orders in ROC Curve Estimation: An
Application to Endometriosis Diagnosis 923--934
Charles Hokayem and
Christopher Bollinger and
James P. Ziliak The Role of CPS Nonresponse in the
Measurement of Poverty . . . . . . . . . 935--945
Chao Huang and
Martin Styner and
Hongtu Zhu Clustering High-Dimensional
Landmark-Based Two-Dimensional Shape
Data . . . . . . . . . . . . . . . . . . 946--961
Yi-Juan Hu and
Wei Sun and
Jung-Ying Tzeng and
Charles M. Perou Proper Use of Allele-Specific Expression
Improves Statistical Power for \em
cis-eQTL Mapping with RNA-Seq Data . . . 962--974
Wei Sun and
Yufeng Liu and
James J. Crowley and
Ting-Huei Chen and
Hua Zhou and
Haitao Chu and
Shunping Huang and
Pei-Fen Kuan and
Yuan Li and
Darla Miller and
Ginger Shaw and
Yichao Wu and
Vasyl Zhabotynsky and
Leonard McMillan and
Fei Zou and
Patrick F. Sullivan and
Fernando Pardo-Manuel De Villena IsoDOT Detects Differential RNA-Isoform
Expression/Usage With Respect to a
Categorical or Continuous Covariate With
High Sensitivity and Specificity . . . . 975--986
Hang J. Kim and
Lawrence H. Cox and
Alan F. Karr and
Jerome P. Reiter and
Quanli Wang Simultaneous Edit-Imputation for
Continuous Microdata . . . . . . . . . . 987--999
Li-Chu Chien and
Yuh-Jenn Wu and
Chao A. Hsiung and
Lu-Hai Wang and
I-Shou Chang Smoothed Lexis Diagrams With
Applications to Lung and Breast Cancer
Trends in Taiwan . . . . . . . . . . . . 1000--1012
Kosuke Imai and
Marc Ratkovic Robust Estimation of Inverse Probability
Weights for Marginal Structural Models 1013--1023
Karel Vermeulen and
Stijn Vansteelandt Bias-Reduced Doubly Robust Estimation 1024--1036
Alexander Volfovsky and
Peter D. Hoff Testing for Nodal Dependence in
Relational Data Matrices . . . . . . . . 1037--1046
Bailey K. Fosdick and
Peter D. Hoff Testing and Modeling Dependencies
Between a Network and Nodal Attributes 1047--1056
Laura Azzimonti and
Laura M. Sangalli and
Piercesare Secchi and
Maurizio Domanin and
Fabio Nobile Blood Flow Velocity Field Estimation Via
Spatial Regression With PDE Penalization 1057--1071
C. Villa and
S. G. Walker An Objective Approach to Prior Mass
Functions for Discrete Parameter Spaces 1072--1082
Tianhao Wang and
Yingcun Xia Whittle Likelihood Estimation of
Nonlinear Autoregressive Models With
Moving Average Residuals . . . . . . . . 1083--1099
Graciela Boente and
Matías Salibian-Barrera $S$-Estimators for Functional Principal
Component Analysis . . . . . . . . . . . 1100--1111
Jian Zhu and
Trivellore E. Raghunathan Convergence Properties of a Sequential
Regression Multiple Imputation Algorithm 1112--1124
Hua Yun Chen and
Daniel E. Rader and
Mingyao Li Likelihood Inferences on Semiparametric
Odds Ratio Model . . . . . . . . . . . . 1125--1135
Jiming Jiang and
Thuan Nguyen and
J. Sunil Rao The E-MS Algorithm: Model Selection With
Incomplete Data . . . . . . . . . . . . 1136--1147
Deng Pan and
Haijin He and
Xinyuan Song and
Liuquan Sun Regression Analysis of Additive Hazards
Model With Latent Variables . . . . . . 1148--1159
Yumou Qiu and
Song Xi Chen Bandwidth Selection for High-Dimensional
Covariance Matrix Estimation . . . . . . 1160--1174
Chun Yip Yau and
Chong Man Tang and
Thomas C. M. Lee Estimation of Multiple-Regime Threshold
Autoregressive Models With Structural
Breaks . . . . . . . . . . . . . . . . . 1175--1186
Hongyuan Cao and
Mathew M. Churpek and
Donglin Zeng and
Jason P. Fine Analysis of the Proportional Hazards
Model With Sparse Longitudinal
Covariates . . . . . . . . . . . . . . . 1187--1196
Claudia Kirch and
Birte Muhsal and
Hernando Ombao Detection of Changes in Multivariate
Time Series With Application to EEG Data 1197--1216
David Azriel and
Armin Schwartzman The Empirical Distribution of a Large
Number of Correlated Normal Variables 1217--1228
Xanthi Pedeli and
Anthony C. Davison and
Konstantinos Fokianos Likelihood Estimation for the INAR($p$)
Model by Saddlepoint Approximation . . . 1229--1238
Lo-Bin Chang and
Donald Geman Tracking Cross-Validated Estimates of
Prediction Error as Studies Accumulate 1239--1247
Faming Liang and
Qifan Song and
Peihua Qiu An Equivalent Measure of Partial
Correlation Coefficients for
High-Dimensional Gaussian Graphical
Models . . . . . . . . . . . . . . . . . 1248--1265
Kehui Chen and
Jing Lei Localized Functional Principal Component
Analysis . . . . . . . . . . . . . . . . 1266--1275
Jan De Neve and
Olivier Thas A Regression Framework for Rank Tests
Based on the Probabilistic Index Model 1276--1283
Tucker McElroy and
Brian Monsell Model Estimation, Prediction, and Signal
Extraction for Nonstationary Stock and
Flow Time Series Observed at Mixed
Frequencies . . . . . . . . . . . . . . 1284--1303
Graeme Blair and
Kosuke Imai and
Yang-Yang Zhou Design and Analysis of the Randomized
Response Technique . . . . . . . . . . . 1304--1319
Anonymous Book Reviews . . . . . . . . . . . . . . 1320--1323
David Morganstein Statistics: Making Better Decisions . . 1325--1330
Joshua D. Angrist and
Miikka Rokkanen Wanna Get Away? Regression Discontinuity
Estimation of Exam School Effects Away
From the Cutoff . . . . . . . . . . . . 1331--1344
Michael G. Hudgens Comment . . . . . . . . . . . . . . . . 1345--1347
Thomas Lemieux Comment . . . . . . . . . . . . . . . . 1347--1348
Joshua D. Angrist and
Miikka Rokkanen Rejoinder . . . . . . . . . . . . . . . 1348--1349
Bo Jiang and
Jun S. Liu Bayesian Partition Models for
Identifying Expression Quantitative
Trait Loci . . . . . . . . . . . . . . . 1350--1361
Liangliang Wang and
Alexandre Bouchard-Côté and
Arnaud Doucet Bayesian Phylogenetic Inference Using a
Combinatorial Sequential Monte Carlo
Method . . . . . . . . . . . . . . . . . 1362--1374
Jian Zhang and
Li Su Temporal Autocorrelation-Based
Beamforming With MEG Neuroimaging Data 1375--1388
Paul R. Rosenbaum Some Counterclaims Undermine Themselves
in Observational Studies . . . . . . . . 1389--1398
G. O. Mohler and
M. B. Short and
Sean Malinowski and
Mark Johnson and
G. E. Tita and
Andrea L. Bertozzi and
P. J. Brantingham Randomized Controlled Field Trials of
Predictive Policing . . . . . . . . . . 1399--1411
Kari Lock Morgan and
Donald B. Rubin Rerandomization to Balance Tiers of
Covariates . . . . . . . . . . . . . . . 1412--1421
Ian W. McKeague and
Min Qian An Adaptive Resampling Test for
Detecting the Presence of Significant
Predictors . . . . . . . . . . . . . . . 1422--1433
A. Chatterjee and
S. N. Lahiri Comment . . . . . . . . . . . . . . . . 1434--1438
Rajen D. Shah and
Richard J. Samworth Comment . . . . . . . . . . . . . . . . 1439--1442
Emre Barut and
Huixia Judy Wang Comment . . . . . . . . . . . . . . . . 1442--1445
Lawrence D. Brown and
Daniel McCarthy Comment . . . . . . . . . . . . . . . . 1446--1449
Alexandre Belloni and
Victor Chernozhukov Comment . . . . . . . . . . . . . . . . 1449--1451
Yichi Zhang and
Eric B. Laber Comment . . . . . . . . . . . . . . . . 1451--1454
Sai Li and
Ritwik Mitra and
Cun-Hui Zhang Comment . . . . . . . . . . . . . . . . 1455--1456
Hannes Leeb Comment . . . . . . . . . . . . . . . . 1457--1459
Ian W. McKeague and
Min Qian Rejoinder . . . . . . . . . . . . . . . 1459--1462
Stephen S. M. Lee and
Mehdi Soleymani A Simple Formula for Mixing Estimators
With Different Convergence Rates . . . . 1463--1478
Anirban Bhattacharya and
Debdeep Pati and
Natesh S. Pillai and
David B. Dunson Dirichlet--Laplace Priors for Optimal
Shrinkage . . . . . . . . . . . . . . . 1479--1490
Weizhen Wang Exact Optimal Confidence Intervals for
Hypergeometric Parameters . . . . . . . 1491--1499
Rajarshi Guhaniyogi and
David B. Dunson Bayesian Compressed Regression . . . . . 1500--1514
Zifang Guo and
Lexin Li and
Wenbin Lu and
Bing Li Groupwise Dimension Reduction via
Envelope Method . . . . . . . . . . . . 1515--1527
Antonio F. Galvao and
Liang Wang Uniformly Semiparametric Efficient
Estimation of Treatment Effects With a
Continuous Treatment . . . . . . . . . . 1528--1542
J. Marcus Jobe and
Michael Pokojovy A Cluster-Based Outlier Detection Scheme
for Multivariate Data . . . . . . . . . 1543--1551
Ryan Martin Plausibility Functions and Exact
Frequentist Inference . . . . . . . . . 1552--1561
Jing Zhou and
Anirban Bhattacharya and
Amy H. Herring and
David B. Dunson Bayesian Factorizations of Big Sparse
Tensors . . . . . . . . . . . . . . . . 1562--1576
Jiwei Zhao and
Jun Shao Semiparametric Pseudo-Likelihoods in
Generalized Linear Models With
Nonignorable Missing Data . . . . . . . 1577--1590
Laurent E. Calvet and
Veronika Czellar and
Elvezio Ronchetti Robust Filtering . . . . . . . . . . . . 1591--1606
Qifan Song and
Faming Liang High-Dimensional Variable Selection With
Reciprocal $ L_1 $-Regularization . . . 1607--1620
Ryan Martin and
Chuanhai Liu Marginal Inferential Models: Prior-Free
Probabilistic Inference on Interest
Parameters . . . . . . . . . . . . . . . 1621--1631
Hiroyuki Kasahara and
Katsumi Shimotsu Testing the Number of Components in
Normal Mixture Regression Models . . . . 1632--1645
Daniel K. Sewell and
Yuguo Chen Latent Space Models for Dynamic Networks 1646--1657
Lan Wang and
Bo Peng and
Runze Li A High-Dimensional Nonparametric
Multivariate Test for Mean Vector . . . 1658--1669
Yuanshan Wu and
Yanyuan Ma and
Guosheng Yin Smoothed and Corrected Score Approach to
Censored Quantile Regression With
Measurement Errors . . . . . . . . . . . 1670--1683
Tyler H. McCormick and
Tian Zheng Latent Surface Models for Networks Using
Aggregated Relational Data . . . . . . . 1684--1695
Jin Xu and
Jiajie Chen and
Peter Z. G. Qian Sequentially Refined Latin Hypercube
Designs: Reusing Every Point . . . . . . 1696--1706
Noah Simon and
Robert Tibshirani A Permutation Approach to Testing
Interactions for Binary Response by
Comparing Correlations Between Classes 1707--1716
Wenxin Jiang and
Yu Zhao On Asymptotic Distributions and
Confidence Intervals for LIFT Measures
in Data Mining . . . . . . . . . . . . . 1717--1725
Xueqin Wang and
Wenliang Pan and
Wenhao Hu and
Yuan Tian and
Heping Zhang Conditional Distance Correlation . . . . 1726--1734
Gauri Sankar Datta and
Abhyuday Mandal Small Area Estimation With Uncertain
Random Effects . . . . . . . . . . . . . 1735--1744
Brigham R. Frandsen Treatment Effects With Censoring and
Endogeneity . . . . . . . . . . . . . . 1745--1752
Sebastian Calonico and
Matias D. Cattaneo and
Rocío Titiunik Optimal Data-Driven Regression
Discontinuity Plots . . . . . . . . . . 1753--1769
Ruoqing Zhu and
Donglin Zeng and
Michael R. Kosorok Reinforcement Learning Trees . . . . . . 1770--1784
Aurore Delaigle and
Wen-Xin Zhou Nonparametric and Parametric Estimators
of Prevalence From Group Testing Data
With Aggregated Covariates . . . . . . . 1785--1796
Xiaofeng Shao Self-Normalization for Time Series: A
Review of Recent Developments . . . . . 1797--1817
Anonymous Book Reviews . . . . . . . . . . . . . . 1818--1824
Anonymous Editorial Collaborators . . . . . . . . 1825--1831
Anonymous Editorial Board EOV . . . . . . . . . . ebi--ebi
Ci-Ren Jiang and
John A. D. Aston and
Jane-Ling Wang A Functional Approach to Deconvolve
Dynamic Neuroimaging Data . . . . . . . 1--13
P. Richard Hahn and
Jared S. Murray and
Ioanna Manolopoulou A Bayesian Partial Identification
Approach to Inferring the Prevalence of
Accounting Misconduct . . . . . . . . . 14--26
Zhiguang Huo and
Ying Ding and
Silvia Liu and
Steffi Oesterreich and
George Tseng Meta-Analytic Framework for Sparse
$K$-Means to Identify Disease Subtypes
in Multiple Transcriptomic Studies . . . 27--42
Mehdi Maadooliat and
Lan Zhou and
Seyed Morteza Najibi and
Xin Gao and
Jianhua Z. Huang Collective Estimation of Multiple
Bivariate Density Functions With
Application to Angular-Sampling-Based
Protein Loop Modeling . . . . . . . . . 43--56
Won Chang and
Murali Haran and
Patrick Applegate and
David Pollard Calibrating an Ice Sheet Model Using
High-Dimensional Binary Spatial Data . . 57--72
Lisa M. Pham and
Luis Carvalho and
Scott Schaus and
Eric D. Kolaczyk Perturbation Detection Through Modeling
of Gene Expression on a Latent
Biological Pathway Network: A Bayesian
Hierarchical Approach . . . . . . . . . 73--92
Matthew R. Schofield and
Richard J. Barker and
Andrew Gelman and
Edward R. Cook and
Keith R. Briffa A Model-Based Approach to Climate
Reconstruction Using Tree-Ring Data . . 93--106
Nilanjan Chatterjee and
Yi-Hau Chen and
Paige Maas and
Raymond J. Carroll Constrained Maximum Likelihood
Estimation for Model Calibration Using
Summary-Level Information From External
Big Data Sources . . . . . . . . . . . . 107--117
Peisong Han and
Jerald F. Lawless Comment . . . . . . . . . . . . . . . . 118--121
Sebastien Haneuse and
Claudia Rivera Comment . . . . . . . . . . . . . . . . 121--122
Thomas A. Louis and
Niels Keiding Comment . . . . . . . . . . . . . . . . 123--124
Joel A. Mefford and
Noah A. Zaitlen and
John S. Witte Comment: A Human Genetics Perspective 124--127
Chirag J. Patel and
Francesca Dominici Comment: Addressing the Need for
Portability in Big Data Model Building
and Calibration . . . . . . . . . . . . 127--129
Nilanjan Chatterjee and
Yi-Hau Chen and
Paige Maas and
Raymond J. Carroll Rejoinder . . . . . . . . . . . . . . . 130--131
Hyunseung Kang and
Anru Zhang and
T. Tony Cai and
Dylan S. Small Instrumental Variables Estimation With
Some Invalid Instruments and its
Application to Mendelian Randomization 132--144
Xiaoyan Sun and
Limin Peng and
Yijian Huang and
HuiChuan J. Lai Generalizing Quantile Regression for
Counting Processes With Applications to
Recurrent Events . . . . . . . . . . . . 145--156
Peng Ding and
Tirthankar Dasgupta A Potential Tale of Two-by-Two Tables
From Completely Randomized Experiments 157--168
Rui Pan and
Hansheng Wang and
Runze Li Ultrahigh-Dimensional Multiclass Linear
Discriminant Analysis by Pairwise Sure
Independence Screening . . . . . . . . . 169--179
Wenjiang Fu Constrained Estimators and Consistency
of a Regression Model on a Lexis Diagram 180--199
Michalis K. Titsias and
Christopher C. Holmes and
Christopher Yau Statistical Inference in Hidden Markov
Models Using $k$-Segment Constraints . . 200--215
Francesco Bartolucci and
Monia Lupparelli Pairwise Likelihood Inference for Nested
Hidden Markov Chain Models for
Multilevel Longitudinal Data . . . . . . 216--228
T. Tony Cai and
Weidong Liu Large-Scale Multiple Testing of
Correlations . . . . . . . . . . . . . . 229--240
Yunzhang Zhu and
Xiaotong Shen and
Changqing Ye Personalized Prediction and Sparsity
Pursuit in Latent Factor Models . . . . 241--252
T. Tony Cai and
Ming Yuan Minimax and Adaptive Estimation of
Covariance Operator for Random Variables
Observed on a Lattice Graph . . . . . . 253--265
Xingdong Feng and
Liping Zhu Estimation and Testing of Varying
Coefficients in Quantile Regression . . 266--274
Jianqing Fan and
Yang Feng and
Jiancheng Jiang and
Xin Tong Feature Augmentation via Nonparametrics
and Selection (FANS) in High-Dimensional
Classification . . . . . . . . . . . . . 275--287
Jianhua Guo and
Jianchang Hu and
Bing-Yi Jing and
Zhen Zhang Spline-Lasso in High-Dimensional Linear
Regression . . . . . . . . . . . . . . . 288--297
Wentao Li and
Rong Chen and
Zhiqiang Tan Efficient Sequential Monte Carlo With
Multiple Proposals and Control Variates 298--313
Chao Du and
Chu-Lan Michael Kao and
S. C. Kou Stepwise Signal Extraction via Marginal
Likelihood . . . . . . . . . . . . . . . 314--330
Jacopo Mandozzi and
Peter Bühlmann Hierarchical Testing in the
High-Dimensional Setting With Correlated
Variables . . . . . . . . . . . . . . . 331--343
Ying Wei and
Xiaoyu Song and
Mengling Liu and
Iuliana Ionita-Laza and
Joan Reibman Quantile Regression in the Secondary
Analysis of Case-Control Data . . . . . 344--354
Yuan Jiang and
Yunxiao He and
Heping Zhang Variable Selection With Prior
Information for Generalized Linear
Models via the Prior LASSO Method . . . 355--376
Faming Liang and
Ick Hoon Jin and
Qifan Song and
Jun S. Liu An Adaptive Exchange Algorithm for
Sampling From Distributions With
Intractable Normalizing Constants . . . 377--393
Mengjie Chen and
Zhao Ren and
Hongyu Zhao and
Harrison Zhou Asymptotically Normal and Efficient
Estimation of Covariate-Adjusted
Gaussian Graphical Model . . . . . . . . 394--406
Matthew Reimherr and
Dan Nicolae Estimating Variance Components in
Functional Linear Models With
Applications to Genetic Heritability . . 407--422
Zeng-Hua Lu Extended MaxT Tests of One-Sided
Hypotheses . . . . . . . . . . . . . . . 423--437
Anonymous Book Reviews . . . . . . . . . . . . . . 438--445
Colin B. Fogarty and
Mark E. Mikkelsen and
David F. Gaieski and
Dylan S. Small Discrete Optimization for Interpretable
Study Populations and Randomization
Inference in an Observational Study of
Severe Sepsis Mortality . . . . . . . . 447
Bo Zhou and
David E. Moorman and
Sam Behseta and
Hernando Ombao and
Babak Shahbaba A Dynamic Bayesian Model for
Characterizing Cross-Neuronal
Interactions During Decision-Making . . 459
Jonathan R. Bradley and
Christopher K. Wikle and
Scott H. Holan Bayesian Spatial Change of Support for
Count-Valued Survey Data With
Application to the American Community
Survey . . . . . . . . . . . . . . . . . 472
Angela Noufaily and
Paddy Farrington and
Paul Garthwaite and
Doyo Gragn Enki and
Nick Andrews and
Andre Charlett Detection of Infectious Disease
Outbreaks From Laboratory Data With
Reporting Delays . . . . . . . . . . . . 488
Matthew Plumlee and
V. Roshan Joseph and
Hui Yang Calibrating Functional Parameters in the
Ion Channel Models of Cardiac Cells . . 500
Laura Forastiere and
Fabrizia Mealli and
Tyler J. VanderWeele Identification and Estimation of Causal
Mechanisms in Clustered Encouragement
Designs: Disentangling Bed Nets Using
Bayesian Principal Stratification . . . 510
Damião Nóbrega Da Silva and
Chris Skinner and
Jae Kwang Kim Using Binary Paradata to Correct for
Measurement Error in Survey Data
Analysis . . . . . . . . . . . . . . . . 526
Wei Liu and
Zhiwei Zhang and
R. Jason Schroeder and
Martin Ho and
Bo Zhang and
Cynthia Long and
Hui Zhang and
Telba Z. Irony Joint Estimation of Treatment and
Placebo Effects in Clinical Trials With
Longitudinal Blinding Assessments . . . 538
Zhe Yu and
Raquel Prado and
Erin Burke Quinlan and
Steven C. Cramer and
Hernando Ombao Understanding the Impact of Stroke on
Brain Motor Function: A Hierarchical
Bayesian Approach . . . . . . . . . . . 549
Eric W. Fox and
Martin B. Short and
Frederic P. Schoenberg and
Kathryn D. Coronges and
Andrea L. Bertozzi Modeling E-mail Networks and Inferring
Leadership Using Self-Exciting Point
Processes . . . . . . . . . . . . . . . 564
Daniel Cervone and
Alex D'Amour and
Luke Bornn and
Kirk Goldsberry A Multiresolution Stochastic Process
Model for Predicting Basketball
Possession Outcomes . . . . . . . . . . 585
Ryan J. Tibshirani and
Jonathan Taylor and
Richard Lockhart and
Robert Tibshirani Exact Post-Selection Inference for
Sequential Regression Procedures . . . . 600
Lawrence D. Brown and
Kory D. Johnson Comment . . . . . . . . . . . . . . . . 614
Ryan J. Tibshirani and
Jonathan Taylor and
Richard Lockhart and
Robert Tibshirani Rejoinder . . . . . . . . . . . . . . . 618
Tianxi Cai and
T. Tony Cai and
Anru Zhang Structured Matrix Completion with
Applications to Genomic Data Integration 621
Chris J. Oates and
Theodore Papamarkou and
Mark Girolami The Controlled Thermodynamic Integral
for Bayesian Model Evidence Evaluation 634
Shuyuan He and
Wei Liang and
Junshan Shen and
Grace Yang Empirical Likelihood for Right Censored
Lifetime Data . . . . . . . . . . . . . 646
Yun Yang and
David B. Dunson Bayesian Conditional Tensor
Factorizations for High-Dimensional
Classification . . . . . . . . . . . . . 656
Michael W. Robbins and
Colin M. Gallagher and
Robert B. Lund A General Regression Changepoint Test
for Time Series Data . . . . . . . . . . 670
Ying Yan and
Grace Y. Yi A Class of Functional Methods for
Error-Contaminated Survival Data Under
Additive Hazards Models with Replicate
Measurements . . . . . . . . . . . . . . 684
Irina Gaynanova and
James G. Booth and
Martin T. Wells Simultaneous Sparse Estimation of
Canonical Vectors in the $ p \geq N $
Setting . . . . . . . . . . . . . . . . 696
Guan Yu and
Yufeng Liu Sparse Regression Incorporating
Graphical Structure Among Predictors . . 707
Long Feng and
Changliang Zou and
Zhaojun Wang Multivariate-Sign-Based High-Dimensional
Tests for the Two-Sample Location
Problem . . . . . . . . . . . . . . . . 721
Jin Tang and
Yehua Li and
Yongtao Guan Generalized Quasi-Likelihood Ratio Tests
for Semiparametric Analysis of
Covariance Models in Longitudinal Data 736
Pete Bunch and
Simon Godsill Approximations of the Optimal Importance
Density Using Gaussian Particle Flow
Importance Sampling . . . . . . . . . . 748
Yiyuan She and
Shijie Li and
Dapeng Wu Robust Orthogonal Complement Principal
Component Analysis . . . . . . . . . . . 763
Lin Zhang and
Veerabhadran Baladandayuthapani and
Hongxiao Zhu and
Keith A. Baggerly and
Tadeusz Majewski and
Bogdan A. Czerniak and
Jeffrey S. Morris Functional CAR Models for Large
Spatially Correlated Functional Datasets 772
Chiung-Yu Huang and
Jing Qin and
Huei-Ting Tsai Efficient Estimation of the Cox Model
with Auxiliary Subgroup Survival
Information . . . . . . . . . . . . . . 787
Abhirup Datta and
Sudipto Banerjee and
Andrew O. Finley and
Alan E. Gelfand Hierarchical Nearest-Neighbor Gaussian
Process Models for Large Geostatistical
Datasets . . . . . . . . . . . . . . . . 800
Zhou Yu and
Yuexiao Dong and
Li-Xing Zhu Trace Pursuit: A General Framework for
Model-Free Variable Selection . . . . . 813
F. Jay Breidt and
Jean D. Opsomer and
Ismael Sanchez-Borrego Nonparametric Variance Estimation Under
Fine Stratification: An Alternative to
Collapsed Strata . . . . . . . . . . . . 822
Jacob Bien and
Florentina Bunea and
Luo Xiao Convex Banding of the Covariance Matrix 834
Aaron Fisher and
Brian Caffo and
Brian Schwartz and
Vadim Zipunnikov Fast, Exact Bootstrap Principal
Component Analysis for $ p > 1 $ Million 846
Baojiang Chen and
Pengfei Li and
Jing Qin and
Tao Yu Using a Monotonic Density Ratio Model to
Find the Asymptotically Optimal
Combination of Multiple Diagnostic Tests 861
Stanislav Minsker and
Ying-Qi Zhao and
Guang Cheng Active Clinical Trials for Personalized
Medicine . . . . . . . . . . . . . . . . 875
Emilio Porcu and
Moreno Bevilacqua and
Marc G. Genton Spatio-Temporal Covariance and
Cross-Covariance Functions of the Great
Circle Distance on a Sphere . . . . . . 888
Peter Goos and
Bradley Jones and
Utami Syafitri $I$-Optimal Design of Mixture
Experiments . . . . . . . . . . . . . . 899--911
Anonymous Book Reviews . . . . . . . . . . . . . . 912--919
Yanxun Xu and
Peter Müller and
Abdus S. Wahed and
Peter F. Thall Bayesian Nonparametric Estimation for
Dynamic Treatment Regimes With
Sequential Transition Times . . . . . . 921--950
Qian Guan and
Eric B. Laber and
Brian J. Reich Comment . . . . . . . . . . . . . . . . 936--942
Jingxiang Chen and
Yufeng Liu and
Donglin Zeng and
Rui Song and
Yingqi Zhao and
Michael R. Kosorok Comment . . . . . . . . . . . . . . . . 942--947
Lorenzo Trippa and
Giovanni Parmigiani Comment . . . . . . . . . . . . . . . . 947--948
Yanxun Xu and
Peter Müller and
Abdus S. Wahed and
Peter Thall Rejoinder . . . . . . . . . . . . . . . 948--950
Yang Chen and
Kuang Shen and
Shu-Ou Shan and
S. C. Kou Analyzing Single-Molecule Protein
Transportation Experiments via
Hierarchical Hidden Markov Models . . . 951--966
Alexander W. Blocker and
Edoardo M. Airoldi Template-Based Models for Genome-Wide
Analysis of Next-Generation Sequencing
Data at Base-Pair Resolution . . . . . . 967--987
Margaret E. Roberts and
Brandon M. Stewart and
Edoardo M. Airoldi A Model of Text for Experimentation in
the Social Sciences . . . . . . . . . . 988--1003
Sung Won Han and
Gong Chen and
Myun-Seok Cheon and
Hua Zhong Estimation of Directed Acyclic Graphs
Through Two-Stage Adaptive Lasso for
Gene Network Inference . . . . . . . . . 1004--1019
Shahin Tavakoli and
Victor M. Panaretos Detecting and Localizing Differences in
Functional Time Series Dynamics: A Case
Study in Molecular Biophysics . . . . . 1020--1035
Tyler H. McCormick and
Zehang Richard Li and
Clara Calvert and
Amelia C. Crampin and
Kathleen Kahn and
Samuel J. Clark Probabilistic Cause-of-Death Assignment
Using Verbal Autopsies . . . . . . . . . 1036--1049
Chen Yue and
Vadim Zipunnikov and
Pierre-Louis Bazin and
Dzung Pham and
Daniel Reich and
Ciprian Crainiceanu and
Brian Caffo Parameterization of White Matter
Manifold-Like Structures Using Principal
Surfaces . . . . . . . . . . . . . . . . 1050--1060
Fiona Steele and
Elizabeth Washbrook and
Christopher Charlton and
William J. Browne A Longitudinal Mixed Logit Model for
Estimation of Push and Pull Effects in
Residential Location Choice . . . . . . 1061--1074
Kyu Ha Lee and
Francesca Dominici and
Deborah Schrag and
Sebastien Haneuse Hierarchical Models for Semicompeting
Risks Data With Application to Quality
of End-of-Life Care for Pancreatic
Cancer . . . . . . . . . . . . . . . . . 1075--1095
Peter J. Diggle and
Emanuele Giorgi Model-Based Geostatistics for Prevalence
Mapping in Low-Resource Settings . . . . 1096--1120
Leonhard Held and
Stefanie Muff Comment . . . . . . . . . . . . . . . . 1108--1110
Paula Moraga Comment . . . . . . . . . . . . . . . . 1110--1111
Jon Wakefield and
Daniel Simpson and
Jessica Godwin Comment: Getting into Space with a
Weight Problem . . . . . . . . . . . . . 1111--1118
Peter J. Diggle and
Emanuele Giorgi Rejoinder . . . . . . . . . . . . . . . 1119--1120
Daniel Peña and
Victor J. Yohai Generalized Dynamic Principal Components 1121--1131
Ritabrata Das and
Moulinath Banerjee and
Bin Nan and
Huiyong Zheng Fast Estimation of Regression Parameters
in a Broken-Stick Model for Longitudinal
Data . . . . . . . . . . . . . . . . . . 1132--1143
Mingyuan Zhou and
Oscar Hernan Madrid Padilla and
James G. Scott Priors for Random Count Matrices Derived
from a Family of Negative Binomial
Processes . . . . . . . . . . . . . . . 1144--1156
Samuel D. Pimentel and
Dylan S. Small and
Paul R. Rosenbaum Constructed Second Control Groups and
Attenuation of Unmeasured Biases . . . . 1157--1167
Fernando A. Quintana and
Wesley O. Johnson and
L. Elaine Waetjen and
Ellen B. Gold Bayesian Nonparametric Longitudinal Data
Analysis . . . . . . . . . . . . . . . . 1168--1181
Ning Zhang and
Daniel W. Apley Brownian Integrated Covariance Functions
for Gaussian Process Modeling: Sigmoidal
Versus Localized Basis Functions . . . . 1182--1195
Ziqi Chen and
Chenlei Leng Dynamic Covariance Models . . . . . . . 1196--1207
Ming-Yen Cheng and
Toshio Honda and
Jin-Ting Zhang Forward Variable Selection for Sparse
Ultra-High Dimensional Varying
Coefficient Models . . . . . . . . . . . 1209--1221
Srijan Sengupta and
Stanislav Volgushev and
Xiaofeng Shao A Subsampled Double Bootstrap for
Massive Data . . . . . . . . . . . . . . 1222--1232
Ulrich K. Müller and
Andriy Norets Coverage Inducing Priors in Nonstandard
Inference Problems . . . . . . . . . . . 1233--1241
Junhui Wang and
Xiaotong Shen and
Yiwen Sun and
Annie Qu Classification With Unstructured
Predictors and an Application to
Sentiment Analysis . . . . . . . . . . . 1242--1253
Will Wei Sun and
Xingye Qiao and
Guang Cheng Stabilized Nearest Neighbor Classifier
and its Statistical Properties . . . . . 1254--1265
Emre Barut and
Jianqing Fan and
Anneleen Verhasselt Conditional Sure Independence Screening 1266--1277
Christopher J. Bennett and
Brennan S. Thompson Graphical Procedures for Multiple
Comparisons Under General Dependence . . 1278--1288
Gang Li and
Qing Yang Joint Inference for Competing Risks
Survival Data . . . . . . . . . . . . . 1289--1300
Samiran Sinha and
Yanyuan Ma Analysis of Proportional Odds Models
With Censoring and Errors-in-Covariates 1301--1312
Efstathia Bura and
Sabrina Duarte and
Liliana Forzani Sufficient Reductions in Regressions
With Exponential Family Inverse
Predictors . . . . . . . . . . . . . . . 1313--1329
Carsten Jentsch and
Claudia Kirch How Much Information Does Dependence
Between Wavelet Coefficients Contain? 1330--1345
Jan Hannig and
Hari Iyer and
Randy C. S. Lai and
Thomas C. M. Lee Generalized Fiducial Inference: A Review
and New Results . . . . . . . . . . . . 1346--1361
Anonymous Book Reviews . . . . . . . . . . . . . . 1362--1369
Wouter Duivesteijn Correction to Jin-Ting Zhang's
``Approximate and Asymptotic
Distributions of Chi-Squared-Type
Mixtures With Applications'' . . . . . . 1370--1371
Jessica Utts Appreciating Statistics . . . . . . . . 1373--1380
Edoardo M. Airoldi and
Jonathan M. Bischof Improving and Evaluating Topic Models
and Other Models of Text . . . . . . . . 1381--1403
Matt Taddy Comment . . . . . . . . . . . . . . . . 1403--1405
Aleksandrina Goeva and
Eric D. Kolaczyk Comment . . . . . . . . . . . . . . . . 1405--1408
David M. Blei Comment . . . . . . . . . . . . . . . . 1408--1410
Edoardo M. Airoldi Rejoinder . . . . . . . . . . . . . . . 1410--1412
Martin Lysy and
Natesh S. Pillai and
David B. Hill and
M. Gregory Forest and
John W. R. Mellnik and
Paula A. Vasquez and
Scott A. McKinley Model Comparison and Assessment for
Single Particle Tracking in Biological
Fluids . . . . . . . . . . . . . . . . . 1413--1426
Yize Zhao and
Matthias Chung and
Brent A. Johnson and
Carlos S. Moreno and
Qi Long Hierarchical Feature Selection
Incorporating Known and Novel Biological
Information: Identifying Genomic
Features Related to Prostate Cancer
Recurrence . . . . . . . . . . . . . . . 1427--1439
Mark Fiecas and
Hernando Ombao Modeling the Evolution of Dynamic Brain
Processes During an Associative Learning
Experiment . . . . . . . . . . . . . . . 1440--1453
J. T. Gaskins and
M. J. Daniels and
B. H. Marcus Bayesian Methods for Nonignorable
Dropout in Joint Models in Smoking
Cessation Studies . . . . . . . . . . . 1454--1465
Jared S. Murray and
Jerome P. Reiter Multiple Imputation of Missing
Categorical and Continuous Values via
Bayesian Mixture Models With Local
Dependence . . . . . . . . . . . . . . . 1466--1479
Jörg Polzehl and
Karsten Tabelow Low SNR in Diffusion MRI Models . . . . 1480--1490
Wolfgang Karl Härdle and
Brenda López Cabrera and
Ostap Okhrin and
Weining Wang Localizing Temperature Risk . . . . . . 1491--1508
Guanhua Chen and
Donglin Zeng and
Michael R. Kosorok Personalized Dose Finding Using Outcome
Weighted Learning . . . . . . . . . . . 1509--1521
Tianxi Cai and
Lu Tian Comment . . . . . . . . . . . . . . . . 1521--1524
Jun Fan and
Ming Yuan Comment . . . . . . . . . . . . . . . . 1524--1525
Alexander R. Luedtke and
Mark J. van der Laan Comment . . . . . . . . . . . . . . . . 1526--1530
Michael P. Wallace and
Erica E. M. Moodie and
David A. Stephens Comment . . . . . . . . . . . . . . . . 1530--1534
Elizabeth L. Ogburn Comment . . . . . . . . . . . . . . . . 1534--1537
Min Qian Comment . . . . . . . . . . . . . . . . 1538--1541
Michael Rosenblum Comment . . . . . . . . . . . . . . . . 1541--1542
Guanhua Chen and
Donglin Zeng and
Michael R. Kosorok Rejoinder . . . . . . . . . . . . . . . 1543--1547
Simon N. Wood and
Natalya Pya and
Benjamin Säfken Smoothing Parameter and Model Selection
for General Smooth Models . . . . . . . 1548--1563
Thomas Kneib Comment . . . . . . . . . . . . . . . . 1563--1565
Thomas W. Yee Comment . . . . . . . . . . . . . . . . 1565--1568
Sonja Greven and
Fabian Scheipl Comment . . . . . . . . . . . . . . . . 1568--1573
Simon N. Wood and
Natalya Pya and
Benjamin Säfken Rejoinder . . . . . . . . . . . . . . . 1573--1575
Xinlei Wang and
Johan Lim and
Lynne Stokes Using Ranked Set Sampling With Cluster
Randomized Designs for Improved
Inference on Treatment Effects . . . . . 1576--1590
Patrick R. Conrad and
Youssef M. Marzouk and
Natesh S. Pillai and
Aaron Smith Accelerating Asymptotically Exact MCMC
for Computationally Intensive Models via
Local Approximations . . . . . . . . . . 1591--1607
Veronika Rocková and
Edward I. George Fast Bayesian Factor Analysis via
Automatic Rotations to Sparsity . . . . 1608--1622
Ville A. Satopää and
Robin Pemantle and
Lyle H. Ungar Modeling Probability Forecasts via
Information Diversity . . . . . . . . . 1623--1633
Pramita Bagchi and
Moulinath Banerjee and
Stilian A. Stoev Inference for Monotone Functions Under
Short- and Long-Range Dependence:
Confidence Intervals and New Universal
Limits . . . . . . . . . . . . . . . . . 1634--1647
Pietro Coretto and
Christian Hennig Robust Improper Maximum Likelihood:
Tuning, Computation, and a Comparison
With Other Methods for Robust Gaussian
Clustering . . . . . . . . . . . . . . . 1648--1659
Rebecca C. Steorts and
Rob Hall and
Stephen E. Fienberg A Bayesian Approach to Graphical Record
Linkage and Deduplication . . . . . . . 1660--1672
Wang Miao and
Peng Ding and
Zhi Geng Identifiability of Normal and Normal
Mixture Models with Nonignorable Missing
Data . . . . . . . . . . . . . . . . . . 1673--1683
Valentin Patilea and
César Sánchez-Sellero and
Matthieu Saumard Testing the Predictor Effect on a
Functional Response . . . . . . . . . . 1684--1695
Bing-Yi Jing and
Zhouping Li and
Guangming Pan and
Wang Zhou On SURE-Type Double Shrinkage Estimation 1696--1704
Naveen N. Narisetty and
Vijayan N. Nair Extremal Depth for Functional Data and
Applications . . . . . . . . . . . . . . 1705--1714
Pier Luigi Conti and
Daniela Marella and
Mauro Scanu Statistical Matching Analysis for
Complex Survey Data With Applications 1715--1725
Jianqing Fan and
Lingzhou Xue and
Hui Zou Multitask Quantile Regression Under the
Transnormal Model . . . . . . . . . . . 1726--1735
J. D. Godolphin A Link Between the $E$-Value and the
Robustness of Block Designs . . . . . . 1736--1745
Botond Cseke and
Andrew Zammit-Mangion and
Tom Heskes and
Guido Sanguinetti Sparse Approximate Inference for
Spatio-Temporal Point Process Models . . 1746--1763
Claudio Agostinelli and
Víctor J. Yohai Composite Robust Estimators for Linear
Mixed Models . . . . . . . . . . . . . . 1764--1774
Xinyu Zhang and
Dalei Yu and
Guohua Zou and
Hua Liang Optimal Model Averaging Estimation for
Generalized Linear Models and
Generalized Linear Mixed-Effects Models 1775--1790
Abhra Sarkar and
David B. Dunson Bayesian Nonparametric Modeling of
Higher Order Markov Chains . . . . . . . 1791--1803
Degui Li and
Junhui Qian and
Liangjun Su Panel Data Models With Interactive Fixed
Effects and Multiple Structural Breaks 1804--1819
Colin B. Fogarty and
Dylan S. Small Sensitivity Analysis for Multiple
Comparisons in Matched Observational
Studies Through Quadratically
Constrained Linear Programming . . . . . 1820--1830
J. R. Lockwood and
Daniel F. McCaffrey Matching and Weighting With Functions of
Error-Prone Covariates for Causal
Inference . . . . . . . . . . . . . . . 1831--1839
Anonymous Book Reviews . . . . . . . . . . . . . . 1840--1851
Anonymous Correction . . . . . . . . . . . . . . . 1852--1852
Anonymous Editorial Collaborators . . . . . . . . 1853--1861
Anonymous Editorial Board EOV . . . . . . . . . . ebi--ebi
Valen E. Johnson and
Richard D. Payne and
Tianying Wang and
Alex Asher and
Soutrik Mandal On the Reproducibility of Psychological
Science . . . . . . . . . . . . . . . . 1--10
Thomas A. Murray and
Peter F. Thall and
Ying Yuan and
Sarah McAvoy and
Daniel R. Gomez Robust Treatment Comparison Based on
Utilities of Semi-Competing Risks in
Non-Small-Cell Lung Cancer . . . . . . . 11--23
J. L. Scealy and
A. H. Welsh A Directional Mixed Effects Model for
Compositional Expenditure Data . . . . . 24--36
Bledar A. Konomi and
Georgios Karagiannis and
Kevin Lai and
Guang Lin Bayesian Treed Calibration: An
Application to Carbon Capture With AX
Sorbent . . . . . . . . . . . . . . . . 37--53
Audrey Mauguen and
Emily C. Zabor and
Nancy E. Thomas and
Marianne Berwick and
Venkatraman E. Seshan and
Colin B. Begg Defining Cancer Subtypes With
Distinctive Etiologic Profiles: An
Application to the Epidemiology of
Melanoma . . . . . . . . . . . . . . . . 54--63
Ian Barnett and
Rajarshi Mukherjee and
Xihong Lin The Generalized Higher Criticism for
Testing SNP-Set Effects in Genetic
Association Studies . . . . . . . . . . 64--76
Sungmin Kim and
Kevin Potter and
Peter F. Craigmile and
Mario Peruggia and
Trisha Van Zandt A Bayesian Race Model for Recognition
Memory . . . . . . . . . . . . . . . . . 77--91
Curtis B. Storlie and
Brian J. Reich and
William N. Rust and
Lawrence O. Ticknor and
Amanda M. Bonnie and
Andrew J. Montoya and
Sarah E. Michalak Spatiotemporal Modeling of Node
Temperatures in Supercomputers . . . . . 92--108
Michael W. Robbins and
Jessica Saunders and
Beau Kilmer A Framework for Synthetic Control
Methods With High-Dimensional,
Micro-Level Data: Evaluating a
Neighborhood-Specific Crime Intervention 109--126
Brenda López Cabrera and
Franziska Schulz Forecasting Generalized Quantiles of
Electricity Demand: A Functional Data
Approach . . . . . . . . . . . . . . . . 127--136
M. P. Wand Fast Approximate Inference for
Arbitrarily Large Semiparametric
Regression Models via Message Passing 137--168
Dustin Tran and
David M. Blei Comment . . . . . . . . . . . . . . . . 156--158
Wanzhu Tu Comment . . . . . . . . . . . . . . . . 158--161
Philip T. Reiss and
Jeff Goldsmith Comment . . . . . . . . . . . . . . . . 161--164
Simon N. Wood Comment . . . . . . . . . . . . . . . . 164--166
M. P. Wand Rejoinder . . . . . . . . . . . . . . . 166--168
Xin Zhou and
Nicole Mayer-Hamblett and
Umer Khan and
Michael R. Kosorok Residual Weighted Learning for
Estimating Individualized Treatment
Rules . . . . . . . . . . . . . . . . . 169--187
Qing Yang and
Guangming Pan Weighted Statistic in Detecting Faint
and Sparse Alternatives for
High-Dimensional Covariance Matrices . . 188--200
Matthias Katzfuss A Multi-Resolution Approximation for
Massive Spatial Datasets . . . . . . . . 201--214
Thaís C. O. Fonseca and
Marco A. R. Ferreira Dynamic Multiscale Spatiotemporal Models
for Poisson Data . . . . . . . . . . . . 215--234
Shaojun Guo and
John Leigh Box and
Wenyang Zhang A Dynamic Structure for High-Dimensional
Covariance Matrices and Its Application
in Portfolio Allocation . . . . . . . . 235--253
David Rossell and
Donatello Telesca Nonlocal Priors for High-Dimensional
Estimation . . . . . . . . . . . . . . . 254--265
Tao Zou and
Wei Lan and
Hansheng Wang and
Chih-Ling Tsai Covariance Regression Analysis . . . . . 266--281
Jack Kuipers and
Giusi Moffa Partition MCMC for Inference on Acyclic
Digraphs . . . . . . . . . . . . . . . . 282--299
Jonghyun Yun and
Fan Yang and
Yuguo Chen Augmented Particle Filters . . . . . . . 300--313
Roderick J. Little and
Donald B. Rubin and
Sahar Z. Zangeneh Conditions for Ignoring the Missing-Data
Mechanism in Likelihood Inferences for
Parameter Subsets . . . . . . . . . . . 314--320
Colin B. Fogarty and
Pixu Shi and
Mark E. Mikkelsen and
Dylan S. Small Randomization Inference and Sensitivity
Analysis for Composite Null Hypotheses
With Binary Outcomes in Matched
Observational Studies . . . . . . . . . 321--331
Jia Li and
Viktor Todorov and
George Tauchen Robust Jump Regressions . . . . . . . . 332--341
Yuan Huang and
Qingzhao Zhang and
Sanguo Zhang and
Jian Huang and
Shuangge Ma Promoting Similarity of Sparsity
Structures in Integrative Analysis With
Penalization . . . . . . . . . . . . . . 342--350
Kwun Chuen Gary Chan and
Mei-Cheng Wang Semiparametric Modeling and Estimation
of the Terminal Behavior of Recurrent
Marker Processes Before Failure Events 351--362
Simón Lunagómez and
Sayan Mukherjee and
Robert L. Wolpert and
Edoardo M. Airoldi Geometric Representations of Random
Hypergraphs . . . . . . . . . . . . . . 363--383
Ilze Kalnina and
Dacheng Xiu Nonparametric Estimation of the Leverage
Effect: A Trade-Off Between Robustness
and Efficiency . . . . . . . . . . . . . 384--396
Hao Chen and
Jerome H. Friedman A New Graph-Based Two-Sample Test for
Multivariate and Object Data . . . . . . 397--409
Shujie Ma and
Jian Huang A Concave Pairwise Fusion Approach to
Subgroup Analysis . . . . . . . . . . . 410--423
Mark Fiecas and
Jürgen Franke and
Rainer von Sachs and
Joseph Tadjuidje Kamgaing Shrinkage Estimation for Multivariate
Hidden Markov Models . . . . . . . . . . 424--435
Andreas Alfons and
Christophe Croux and
Peter Filzmoser Robust Maximum Association Estimators 436--445
Andreas Hagemann Cluster-Robust Bootstrap Inference in
Quantile Regression Models . . . . . . . 446--456
Anonymous Book Reviews . . . . . . . . . . . . . . 457--464
Anonymous Correction . . . . . . . . . . . . . . . 465--465
Anonymous Correction . . . . . . . . . . . . . . . 466--469
Guohui Wu and
Scott H. Holan Bayesian Hierarchical Multi-Population
Multistate Jolly-Seber Models With
Covariates: Application to the Pallid
Sturgeon Population Assessment Program 471--483
Giampiero Marra and
Rosalba Radice and
Till Bärnighausen and
Simon N. Wood and
Mark E. McGovern A Simultaneous Equation Approach to
Estimating HIV Prevalence With
Nonignorable Missing Responses . . . . . 484--496
Ephraim M. Hanks Modeling Spatial Covariance Using the
Limiting Distribution of Spatio-Temporal
Random Walks . . . . . . . . . . . . . . 497--507
Beibei Guo and
Ying Yuan Bayesian Phase I/II Biomarker-Based Dose
Finding for Precision Medicine With
Molecularly Targeted Agents . . . . . . 508--520
Justin Strait and
Sebastian Kurtek and
Emily Bartha and
Steven N. MacEachern Landmark-Constrained Elastic Shape
Analysis of Planar Curves . . . . . . . 521--533
Brian L. Egleston and
Robert G. Uzzo and
Yu-Ning Wong Latent Class Survival Models Linked by
Principal Stratification to Investigate
Heterogeneous Survival Subgroups Among
Individuals With Early-Stage Kidney
Cancer . . . . . . . . . . . . . . . . . 534--546
José R. Zubizarreta and
Luke Keele Optimal Multilevel Matching in Clustered
Observational Studies: A Case Study of
the Effectiveness of Private Schools
Under a Large-Scale Voucher System . . . 547--560
Dalia Chakrabarty A New Bayesian Test to Test for the
Intractability-Countering Hypothesis . . 561--577
Mevin B. Hooten and
Devin S. Johnson Basis Function Models for Animal
Movement . . . . . . . . . . . . . . . . 578--589
Matthew Blackwell Instrumental Variable Methods for
Conditional Effects and Causal
Interaction in Voter Mobilization
Experiments . . . . . . . . . . . . . . 590--599
Mauricio Sadinle Bayesian Estimation of Bipartite
Matchings for Record Linkage . . . . . . 600--612
Yijian Huang Restoration of Monotonicity Respecting
in Dynamic Regression . . . . . . . . . 613--622
David S. Matteson and
Ruey S. Tsay Independent Component Analysis via
Distance Covariance . . . . . . . . . . 623--637
Kristin A. Linn and
Eric B. Laber and
Leonard A. Stefanski Interactive $Q$-Learning for Quantiles 638--649
Shujie Ma and
Runze Li and
Chih-Ling Tsai Variable Screening via Quantile Partial
Correlation . . . . . . . . . . . . . . 650--663
Qingning Zhou and
Tao Hu and
Jianguo Sun A Sieve Semiparametric Maximum
Likelihood Approach for Regression
Analysis of Bivariate Interval-Censored
Failure Time Data . . . . . . . . . . . 664--672
Vikram V. Garg and
Roy H. Stogner Hierarchical Latin Hypercube Sampling 673--682
Fasheng Sun and
Boxin Tang A Method of Constructing Space-Filling
Orthogonal Designs . . . . . . . . . . . 683--689
Ruiyan Luo and
Xin Qi Function-on-Function Linear Regression
by Signal Compression . . . . . . . . . 690--705
Alexander Schnurr and
Herold Dehling Testing for Structural Breaks via
Ordinal Pattern Dependence . . . . . . . 706--720
David B. Dahl and
Ryan Day and
Jerry W. Tsai Random Partition Distribution Indexed by
Pairwise Information . . . . . . . . . . 721--732
Daniel R. Kowal and
David S. Matteson and
David Ruppert A Bayesian Multivariate Functional
Dynamic Linear Model . . . . . . . . . . 733--744
Yifei Sun and
Mei-Cheng Wang Evaluating Utility Measurement From
Recurrent Marker Processes in the
Presence of Competing Terminal Events 745--756
Xianyang Zhang and
Guang Cheng Simultaneous Inference for
High-Dimensional Linear Models . . . . . 757--768
Ailin Fan and
Rui Song and
Wenbin Lu Change-Plane Analysis for Subgroup
Detection and Sample Size Calculation 769--778
Yang Ni and
Francesco C. Stingo and
Veerabhadran Baladandayuthapani Sparse Multi-Dimensional Graphical
Models: A Unified Bayesian Framework . . 779--793
Gongjun Xu and
Sy Han Chiou and
Chiung-Yu Huang and
Mei-Cheng Wang and
Jun Yan Joint Scale-Change Models for Recurrent
Events and Failure Time . . . . . . . . 794--805
Andrés F. Barrientos and
Alejandro Jara and
Fernando A. Quintana Fully Nonparametric Regression for
Bounded Data Using Dependent Bernstein
Polynomials . . . . . . . . . . . . . . 806--825
Yifei Sun and
Chiung-Yu Huang and
Mei-Cheng Wang Nonparametric Benefit-Risk Assessment
Using Marker Process in the Presence of
a Terminal Event . . . . . . . . . . . . 826--836
Ang Li and
Rina Foygel Barber Accumulation Tests for FDR Control in
Ordered Hypothesis Testing . . . . . . . 837--849
Hél\`ene Juillard and
Guillaume Chauvet and
Anne Ruiz-Gazen Estimation Under Cross-Classified
Sampling With Application to a Childhood
Survey . . . . . . . . . . . . . . . . . 850--858
David M. Blei and
Alp Kucukelbir and
Jon D. McAuliffe Variational Inference: A Review for
Statisticians . . . . . . . . . . . . . 859--877
Anonymous Book Reviews . . . . . . . . . . . . . . 878--882
Sokbae Lee and
Myung Hwan Seo and
Youngki Shin Correction . . . . . . . . . . . . . . . 883--883
Blakeley B. McShane and
David Gal Statistical Significance and the
Dichotomization of Evidence . . . . . . 885--895
Donald Berry A $p$-Value to Die For . . . . . . . . . 895--897
William M. Briggs The Substitute for $p$-Values . . . . . 897--898
Andrew Gelman and
John Carlin Some Natural Solutions to the $p$-Value
Communication Problem --- and Why They
Won't Work . . . . . . . . . . . . . . . 899--901
Eric B. Laber and
Kerby Shedden Statistical Significance and the
Dichotomization of Evidence: The
Relevance of the ASA Statement on
Statistical Significance and $p$-Values
for Statisticians . . . . . . . . . . . 902--904
Blakeley B. McShane and
David Gal Rejoinder: Statistical Significance and
the Dichotomization of Evidence . . . . 904--908
Alfredo Farjat and
Brian J. Reich and
Joseph Guinness and
Ross Whetten and
Steven McKeand and
Fikret Isik Optimal Seed Deployment Under Climate
Change Using Spatial Models: Application
to Loblolly Pine in the Southeastern US 909--920
Ethan X. Fang and
Min-Dian Li and
Michael I. Jordan and
Han Liu Mining Massive Amounts of Genomic Data:
A Semiparametric Topic Modeling Approach 921--932
E. I. George and
V. Rocková and
P. R. Rosenbaum and
V. A. Satopää and
J. H. Silber Mortality Rate Estimation and
Standardization for Public Reporting:
Medicare's Hospital Compare . . . . . . 933--947
Mike G. Tsionas ``When, Where, and How'' of Efficiency
Estimation: Improved Procedures for
Stochastic Frontier Modeling . . . . . . 948--965
Zihuai He and
Min Zhang and
Seunggeun Lee and
Jennifer A. Smith and
Sharon L. R. Kardia and
V. Diez Roux and
Bhramar Mukherjee Set-Based Tests for the Gene-Environment
Interaction in Longitudinal Studies . . 966--978
Weiyi Xie and
Sebastian Kurtek and
Karthik Bharath and
Ying Sun A Geometric Approach to Visualization of
Variability in Functional Data . . . . . 979--993
Jingfei Zhang and
Jiguo Cao Finding Common Modules in a Time-Varying
Network with Application to the
\bionameDrosophila Melanogaster Gene
Regulation Network . . . . . . . . . . . 994--1008
Hongtu Zhu and
Dan Shen and
Xuewei Peng and
Leo Yufeng Liu MWPCR: Multiscale Weighted Principal
Component Regression for
High-Dimensional Prediction . . . . . . 1009--1021
Tao Wang and
Hongyu Zhao Constructing Predictive Microbial
Signatures at Multiple Taxonomic Levels 1022--1031
Sihai Dave Zhao and
T. Tony Cai and
Thomas P. Cappola and
Kenneth B. Margulies and
Hongzhe Li Sparse Simultaneous Signal Detection for
Identifying Genetically Controlled
Disease Genes . . . . . . . . . . . . . 1032--1046
Wesley Tansey and
Alex Athey and
Alex Reinhart and
James G. Scott Multiscale Spatial Density Smoothing: An
Application to Large-Scale Radiological
Survey and Anomaly Detection . . . . . . 1047--1063
Karun Adusumilli and
Taisuke Otsu Empirical Likelihood for Random Sets . . 1064--1075
Kin Wai Chan and
Chun Yip Yau Automatic Optimal Batch Size Selection
for Recursive Estimators of Time-Average
Covariance Matrix . . . . . . . . . . . 1076--1089
Neil Shephard and
Justin J. Yang Continuous Time Analysis of Fleeting
Discrete Price Moves . . . . . . . . . . 1090--1106
Yun Yang and
Surya T. Tokdar Joint Estimation of Quantile Planes Over
Arbitrary Predictor Spaces . . . . . . . 1107--1120
Thomas S. Richardson and
James M. Robins and
Linbo Wang On Modeling and Estimation for the
Relative Risk and Risk Difference . . . 1121--1130
Lexin Li and
Xin Zhang Parsimonious Tensor Response Regression 1131--1146
David Choi Estimation of Monotone Treatment Effects
in Network Experiments . . . . . . . . . 1147--1155
Xiao Wang and
Hongtu Zhu Generalized Scalar-on-Image Regression
Models via Total Variation . . . . . . . 1156--1168
Jialiang Li and
Chao Huang and
Zhub Hongtu A Functional Varying-Coefficient
Single-Index Model for Functional
Response Data . . . . . . . . . . . . . 1169--1181
Tomohiro Ando and
Jushan Bai Clustering Huge Number of Financial Time
Series: A Panel Data Approach With
High-Dimensional Predictors and Factor
Structures . . . . . . . . . . . . . . . 1182--1198
Simon N. Wood and
Zheyuan Li and
Gavin Shaddick and
Nicole H. Augustin Generalized Additive Models for
Gigadata: Modeling the U.K. Black Smoke
Network Daily Data . . . . . . . . . . . 1199--1210
Cyrus J. DiCiccio and
Joseph P. Romano Robust Permutation Tests For Correlation
And Regression Coefficients . . . . . . 1211--1220
Jon Arni Steingrimsson and
Robert L. Strawderman Estimation in the Semiparametric
Accelerated Failure Time Model With
Missing Covariates: Improving Efficiency
Through Augmentation . . . . . . . . . . 1221--1235
Ganggang Xu and
Marc G. Genton Tukey $g$-and-$h$ Random Fields . . . . 1236--1249
Pengfei Li and
Yukun Liu and
Jing Qin Semiparametric Inference in a Genetic
Mixture Model . . . . . . . . . . . . . 1250--1260
Lizhen Lin and
Brian St. Thomas and
Hongtu Zhu and
David B. Dunson Extrinsic Local Regression on
Manifold-Valued Data . . . . . . . . . . 1261--1273
Matthew Plumlee Bayesian Calibration of Inexact Computer
Models . . . . . . . . . . . . . . . . . 1274--1285
Kyle Vincent and
Steve Thompson Estimating Population Size With
Link-Tracing Sampling . . . . . . . . . 1286--1295
Ming-Yueh Huang and
Chin-Tsang Chiang An Effective Semiparametric Estimation
Approach for the Sufficient Dimension
Reduction Model . . . . . . . . . . . . 1296--1310
Kazuki Uematsu and
Yoonkyung Lee On Theoretically Optimal Ranking
Functions in Bipartite Ranking . . . . . 1311--1322
Francis K. C. Hui and
Samuel Müller and
A. H. Welsh Joint Selection in Mixed Models using
Regularized PQL . . . . . . . . . . . . 1323--1333
Ulrich K. Müller and
Yulong Wang Fixed-$k$ Asymptotic Inference About
Tail Properties . . . . . . . . . . . . 1334--1343
Xuan Bi and
Annie Qu and
Junhui Wang and
Xiaotong Shen A Group-Specific Recommender System . . 1344--1353
Eric D. Schoen and
Nha Vo-Thanh and
Peter Goos Two-Level Orthogonal Screening Designs
With 24, 28, 32, and 36 Runs . . . . . . 1354--1369
Anonymous Book Reviews . . . . . . . . . . . . . . 1370--1379
Wei Liu and
Zhiwei Zhang and
Lei Nie and
Guoxing Soon A Case Study in Personalized Medicine:
Rilpivirine Versus Efavirenz for
Treatment-Naive HIV Patients . . . . . . 1381--1392
Chuan Hong and
Yang Ning and
Shuang Wang and
Hao Wu and
Raymond J. Carroll and
Yong Chen PLEMT: A Novel Pseudolikelihood-Based EM
Test for Homogeneity in Generalized
Exponential Tilt Mixture Models . . . . 1393--1404
Robert T. Krafty and
Ori Rosen and
David S. Stoffer and
Daniel J. Buysse and
Martica H. Hall Conditional Spectral Analysis of
Replicated Multiple Time Series With
Application to Nocturnal Physiology . . 1405--1416
Xiaodong Li and
Xu He and
Yuanzhen He and
Hui Zhang and
Zhong Zhang and
Dennis K. J. Lin The Design and Analysis for the Icing
Wind Tunnel Experiment of a New Deicing
Coating . . . . . . . . . . . . . . . . 1417--1429
Boyu Ren and
Sergio Bacallado and
Stefano Favaro and
Susan Holmes and
Lorenzo Trippa Bayesian Nonparametric Ordination for
the Analysis of Microbial Communities 1430--1442
Caleb H. Miles and
Ilya Shpitser and
Phyllis Kanki and
Seema Meloni and
Eric J. Tchetgen Tchetgen Quantifying an Adherence Path-Specific
Effect of Antiretroviral Therapy in the
Nigeria PEPFAR Program . . . . . . . . . 1443--1452
K. Sham Bhat and
David S. Mebane and
Priyadarshi Mahapatra and
Curtis B. Storlie Upscaling Uncertainty with Dynamic
Discrepancy for a Multi-Scale Carbon
Capture System . . . . . . . . . . . . . 1453--1467
Ran Tao and
Donglin Zeng and
Dan-Yu Lin Efficient Semiparametric Inference Under
Two-Phase Sampling, With Applications to
Genetic Association Studies . . . . . . 1468--1476
D. L. Oberski and
A. Kirchner and
S. Eckman and
F. Kreuter Evaluating the Quality of Survey and
Administrative Data with Generalized
Multitrait-Multimethod Models . . . . . 1477--1489
Siem Jan Koopman and
Rutger Lit and
André Lucas Intraday Stochastic Volatility in
Discrete Price Changes: The Dynamic
Skellam Model . . . . . . . . . . . . . 1490--1503
Michel H. Hof and
Anita C. Ravelli and
Aeilko H. Zwinderman A Probabilistic Record Linkage Model for
Survival Data . . . . . . . . . . . . . 1504--1515
Daniele Durante and
David B. Dunson and
Joshua T. Vogelstein Nonparametric Bayes Modeling of
Populations of Networks . . . . . . . . 1516--1530
Adrian E. Raftery Comment: Extending the Latent Position
Model for Networks . . . . . . . . . . . 1531--1534
Tamara Broderick Comment: Nonparametric Bayes Modeling of
Populations of Networks . . . . . . . . 1534--1537
Mark S. Handcock Comment . . . . . . . . . . . . . . . . 1537--1539
Nicholas J. Foti and
Emily B. Fox Comment: Nonparametric Bayes Modeling of
Populations of Networks . . . . . . . . 1539--1543
Scott W. Linderman and
David M. Blei Comment: A Discussion of ``Nonparametric
Bayes Modeling of Populations of
Networks'' . . . . . . . . . . . . . . . 1543--1547
Daniele Durante and
David B. Dunson and
Joshua T. Vogelstein Rejoinder: Nonparametric Bayes Modeling
of Populations of Networks . . . . . . . 1547--1552
Xinyu Zhang and
Haiying Wang and
Yanyuan Ma and
Raymond J. Carroll Linear Model Selection When Covariates
Contain Errors . . . . . . . . . . . . . 1553--1561
Wayne A. Fuller and
Jason C. Legg and
Yang Li Bootstrap Variance Estimation for
Rejective Sampling . . . . . . . . . . . 1562--1570
Gongjun Xu and
Tony Sit and
Lan Wang and
Chiung-Yu Huang Estimation and Inference of Quantile
Regression for Survival Data Under
Biased Sampling . . . . . . . . . . . . 1571--1586
Kyle R. White and
Leonard A. Stefanski and
Yichao Wu Variable Selection in Kernel Regression
Using Measurement Error Selection
Likelihoods . . . . . . . . . . . . . . 1587--1597
Michalis K. Titsias and
Christopher Yau The Hamming Ball Sampler . . . . . . . . 1598--1611
Xu He Rotated Sphere Packing Designs . . . . . 1612--1622
Mingyuan Zhou and
Stefano Favaro and
Stephen G. Walker Frequency of Frequencies Distributions
and Size-Dependent Exchangeable Random
Partitions . . . . . . . . . . . . . . . 1623--1635
Pieralberto Guarniero and
Adam M. Johansen and
Anthony Lee The Iterated Auxiliary Particle Filter 1636--1647
Shujie Ma and
Yanyuan Ma and
Yanqing Wang and
Eli S. Kravitz and
Raymond J. Carroll A Semiparametric Single-Index Risk Score
Across Populations . . . . . . . . . . . 1648--1662
Susanne M. Schennach and
Daniel Wilhelm A Simple Parametric Model Selection Test 1663--1674
Yong-Dao Zhou and
Hongquan Xu Composite Designs Based on Orthogonal
Arrays and Definitive Screening Designs 1675--1683
Yen-Chi Chen and
Christopher R. Genovese and
Larry Wasserman Density Level Sets: Asymptotics,
Inference, and Visualization . . . . . . 1684--1696
Shizhe Chen and
Ali Shojaie and
Daniela M. Witten Network Reconstruction From
High-Dimensional Ordinary Differential
Equations . . . . . . . . . . . . . . . 1697--1707
Daniel Manrique-Vallier and
Jerome P. Reiter Bayesian Simultaneous Edit and
Imputation for Multivariate Categorical
Data . . . . . . . . . . . . . . . . . . 1708--1719
Taisuke Otsu and
Yoshiyasu Rai Bootstrap Inference of Matching
Estimators for Average Treatment Effects 1720--1732
Karthik Bharath and
Prabhanjan Kambadur and
Dipak. K. Dey and
Arvind Rao and
Veerabhadran Baladandayuthapani Statistical Tests for Large
Tree-Structured Data . . . . . . . . . . 1733--1743
Yacine A\"\it-Sahalia and
Jianqing Fan and
Roger J. A. Laeven and
Christina Dan Wang and
Xiye Yang Estimation of the Continuous and
Discontinuous Leverage Effects . . . . . 1744--1758
Xinran Li and
Peng Ding General Forms of Finite Population
Central Limit Theorems with Applications
to Causal Inference . . . . . . . . . . 1759--1769
Samuel D. Pimentel and
Rachel R. Kelz and
Jeffrey H. Silber and
Paul R. Rosenbaum Correction . . . . . . . . . . . . . . . 1770--1770
Anonymous Book Reviews . . . . . . . . . . . . . . 1771--1783
Anonymous Editorial Collaborators . . . . . . . . 1784--1791
Anonymous Editorial Board EOV . . . . . . . . . . ebi--ebi
Yuanjia Wang and
Haoda Fu and
Donglin Zeng Learning Optimal Personalized Treatment
Rules in Consideration of Benefit and
Risk: With an Application to Treating
Type 2 Diabetes Patients With Insulin
Therapies . . . . . . . . . . . . . . . 1--13
Danielle Braun and
Malka Gorfine and
Hormuzd A. Katki and
Argyrios Ziogas and
Giovanni Parmigiani Nonparametric Adjustment for Measurement
Error in Time-to-Event Data: Application
to Risk Prediction Models . . . . . . . 14--25
Jouni Kuha and
Sarah Butt and
Myrsini Katsikatsou and
Chris J. Skinner The Effect of Probing ``Don't Know''
Responses on Measurement Quality and
Nonresponse in Surveys . . . . . . . . . 26--40
Guillaume Basse and
Avi Feller Analyzing Two-Stage Experiments in the
Presence of Interference . . . . . . . . 41--55
Joseph Guinness and
Dorit Hammerling Compression and Conditional Emulation of
Climate Model Output . . . . . . . . . . 56--67
Maria DeYoreo and
Athanasios Kottas Modeling for Dynamic Ordinal Regression
Relationships: An Application to
Estimating Maturity of Rockfish in
California . . . . . . . . . . . . . . . 68--80
Siamak Zamani Dadaneh and
Xiaoning Qian and
Mingyuan Zhou BNP-Seq: Bayesian Nonparametric
Differential Expression Analysis of
Sequencing Count Data . . . . . . . . . 81--94
Meredith L. Wallace and
Daniel J. Buysse and
Anne Germain and
Martica H. Hall and
Satish Iyengar Variable Selection for Skewed
Model-Based Clustering: Application to
the Identification of Novel Sleep
Phenotypes . . . . . . . . . . . . . . . 95--110
Ross P. Hilton and
Yuchen Zheng and
Nicoleta Serban Modeling Heterogeneity in Healthcare
Utilization Using Massive Medical Claims
Data . . . . . . . . . . . . . . . . . . 111--121
Peng Shi and
Lu Yang Pair Copula Constructions for Insurance
Experience Rating . . . . . . . . . . . 122--133
Ryan Warnick and
Michele Guindani and
Erik Erhardt and
Elena Allen and
Vince Calhoun and
Marina Vannucci A Bayesian Approach for Estimating
Dynamic Functional Network Connectivity
in fMRI Data . . . . . . . . . . . . . . 134--151
Noel Cressie Mission CO$_2$ ntrol: A Statistical
Scientist's Role in Remote Sensing of
Atmospheric Carbon Dioxide . . . . . . . 152--168
Petra M. Kuhnert Comment . . . . . . . . . . . . . . . . 168--170
William F. Christensen and
C. Shane Reese Comment . . . . . . . . . . . . . . . . 171--173
Frédéric Chevallier and
François-Marie Bréon Comment . . . . . . . . . . . . . . . . 173--175
Marc G. Genton and
Jaehong Jeong Comment . . . . . . . . . . . . . . . . 176--178
Noel Cressie Rejoinder . . . . . . . . . . . . . . . 178--181
John C. Duchi and
Michael I. Jordan and
Martin J. Wainwright Minimax Optimal Procedures for Locally
Private Estimation . . . . . . . . . . . 182--201
Anderson Y. Zhang and
Harrison H. Zhou Comment . . . . . . . . . . . . . . . . 201--203
Alfred Hero Comment . . . . . . . . . . . . . . . . 203--204
Vishesh Karwa Comment . . . . . . . . . . . . . . . . 204--207
Moritz Hardt Comment . . . . . . . . . . . . . . . . 207--208
Aaron Roth Comment . . . . . . . . . . . . . . . . 208--211
John C. Duchi and
Michael I. Jordan and
Martin J. Wainwright Rejoinder . . . . . . . . . . . . . . . 212--215
Chung Eun Lee and
Xiaofeng Shao Martingale Difference Divergence Matrix
and Its Application to Dimension
Reduction for Stationary Multivariate
Time Series . . . . . . . . . . . . . . 216--229
Susan Athey and
Dean Eckles and
Guido W. Imbens Exact $p$-Values for Network
Interference . . . . . . . . . . . . . . 230--240
Kehui Chen and
Jing Lei Network Cross-Validation for Determining
the Number of Communities in Network
Data . . . . . . . . . . . . . . . . . . 241--251
Fang Han and
Han Liu ECA: High-Dimensional Elliptical
Component Analysis in Non-Gaussian
Distributions . . . . . . . . . . . . . 252--268
Jiming Jiang and
J. Sunil Rao and
Jie Fan and
Thuan Nguyen Classified Mixed Model Prediction . . . 269--279
Stephen Reid and
Jonathan Taylor and
Robert Tibshirani A General Framework for Estimation and
Inference From Clusters of Features . . 280--293
Ling Ma and
Rajeshwari Sundaram Analysis of Gap Times Based on Panel
Count Data With Informative Observation
Times and Unknown Start Time . . . . . . 294--305
Emilie Devijver and
Mélina Gallopin Block-Diagonal Covariance Selection for
High-Dimensional Gaussian Graphical
Models . . . . . . . . . . . . . . . . . 306--314
Zhao Chen and
Jianqing Fan and
Runze Li Error Variance Estimation in
Ultrahigh-Dimensional Additive Models 315--327
Yin Xia and
Tianxi Cai and
T. Tony Cai Multiple Testing of Submatrices of a
Precision Matrix With Applications to
Identification of Between Pathway
Interactions . . . . . . . . . . . . . . 328--339
Jeffrey W. Miller and
Matthew T. Harrison Mixture Models With a Prior on the
Number of Components . . . . . . . . . . 340--356
Shengchun Kong and
Bin Nan and
John D. Kalbfleisch and
Rajiv Saran and
Richard Hirth Conditional Modeling of Longitudinal
Data With Terminal Event . . . . . . . . 357--368
BaoLuo Sun and
Eric J. Tchetgen Tchetgen On Inverse Probability Weighting for
Nonmonotone Missing at Random Data . . . 369--379
Quefeng Li and
Guang Cheng and
Jianqing Fan and
Yuyan Wang Embracing the Blessing of Dimensionality
in Factor Models . . . . . . . . . . . . 380--389
Fan Li and
Kari Lock Morgan and
Alan M. Zaslavsky Balancing Covariates via Propensity
Score Weighting . . . . . . . . . . . . 390--400
Abhra Sarkar and
Debdeep Pati and
Antik Chakraborty and
Bani K. Mallick and
Raymond J. Carroll Bayesian Semiparametric Multivariate
Density Deconvolution . . . . . . . . . 401--416
Rajesh Ranganath and
David M. Blei Correlated Random Measures . . . . . . . 417--430
Veronika Rocková and
Edward I. George The Spike-and-Slab LASSO . . . . . . . . 431--444
Yiyuan She and
Zhifeng Wang and
He Jiang Group Regularized Estimation Under
Structural Hierarchy . . . . . . . . . . 445--454
Marco Battiston and
Stefano Favaro and
Yee Whye Teh Multi-Armed Bandit for Species
Discovery: A Bayesian Nonparametric
Approach . . . . . . . . . . . . . . . . 455--466
Pavel Krupskii and
Raphaël Huser and
Marc G. Genton Factor Copula Models for Replicated
Spatial Data . . . . . . . . . . . . . . 467--479
Anonymous Book Reviews . . . . . . . . . . . . . . 480--485
Anonymous Corrigendum . . . . . . . . . . . . . . 486--486
Anonymous Erratum . . . . . . . . . . . . . . . . 487--487
Barry D. Nussbaum Statistics: Essential Now More Than Ever 489--493
Peter Ganong and
Simon Jäger A Permutation Test for the Regression
Kink Design . . . . . . . . . . . . . . 494--504
Zhigang Yao and
Ye Zhang and
Zhidong Bai and
William F. Eddy Estimating the Number of Sources in
Magnetoencephalography Using Spiked
Population Eigenvalues . . . . . . . . . 505--518
Xi Chen and
Kaoru Irie and
David Banks and
Robert Haslinger and
Jewell Thomas and
Mike West Scalable Bayesian Modeling, Monitoring,
and Analysis of Dynamic Network Flow
Data . . . . . . . . . . . . . . . . . . 519--533
Bruce J. Swihart and
Michael P. Fay and
Kazutoyo Miura Statistical Methods for Standard
Membrane-Feeding Assays to Measure
Transmission Blocking or Reducing
Activity in Malaria . . . . . . . . . . 534--545
Kun Chen and
Neha Mishra and
Joan Smyth and
Haim Bar and
Elizabeth Schifano and
Lynn Kuo and
Ming-Hui Chen A Tailored Multivariate Mixture Model
for Detecting Proteins of Concordant
Change Among Virulent Strains of
\bionameClostridium Perfringens . . . . 546--559
Li Hsu and
Malka Gorfine and
David Zucker On Estimation of the Hazard Function
From Population-Based Case-Control
Studies . . . . . . . . . . . . . . . . 560--570
Haiming Zhou and
Timothy Hanson A Unified Framework for Fitting Bayesian
Semiparametric Models to Arbitrarily
Censored Survival Data, Including
Spatially Referenced Data . . . . . . . 571--581
Liang Li and
Chih-Hsien Wu and
Jing Ning and
Xuelin Huang and
Ya-Chen Tina Shih and
Yu Shen Semiparametric Estimation of
Longitudinal Medical Cost Trajectory . . 582--592
Yuhang Xu and
Yehua Li and
Dan Nettleton Nested Hierarchical Functional Data
Modeling and Inference for the Analysis
of Functional Plant Phenotypes . . . . . 593--606
Houshmand Shirani-Mehr and
David Rothschild and
Sharad Goel and
Andrew Gelman Disentangling Bias and Variance in
Election Polls . . . . . . . . . . . . . 607--614
Ning Hao and
Yang Feng and
Hao Helen Zhang Model Selection for High-Dimensional
Quadratic Regression via Regularization 615--625
Antonio R. Linero Bayesian Regression Trees for
High-Dimensional Prediction and Variable
Selection . . . . . . . . . . . . . . . 626--636
Ting Zhang and
Liliya Lavitas Unsupervised Self-Normalized
Change-Point Testing for Time Series . . 637--648
Clara Happ and
Sonja Greven Multivariate Functional Principal
Component Analysis for Data Observed on
Different (Dimensional) Domains . . . . 649--659
Alexander Hanbo Li and
Jelena Bradic Boosting in the Presence of Outliers:
Adaptive Classification With Nonconvex
Loss Functions . . . . . . . . . . . . . 660--674
Federico Bassetti and
Roberto Casarin and
Francesco Ravazzolo Bayesian Nonparametric Calibration and
Combination of Predictive Distributions 675--685
L. Fattorini and
M. Marcheselli and
L. Pratelli Design-Based Maps for Finite Populations
of Spatial Units . . . . . . . . . . . . 686--697
Asaf Weinstein and
Zhuang Ma and
Lawrence D. Brown and
Cun-Hui Zhang Group-Linear Empirical Bayes Estimates
for a Heteroscedastic Normal Mean . . . 698--710
Holger Dette and
Kathrin Möllenhoff and
Stanislav Volgushev and
Frank Bretz Equivalence of Regression Curves . . . . 711--729
Chong Zhang and
Wenbo Wang and
Xingye Qiao On Reject and Refine Options in
Multicategory Classification . . . . . . 730--745
Kejun He and
Heng Lian and
Shujie Ma and
Jianhua Z. Huang Dimensionality Reduction and Variable
Selection in Multivariate
Varying-Coefficient Models With a Large
Number of Covariates . . . . . . . . . . 746--754
Forrest W. Crawford and
Jiacheng Wu and
Robert Heimer Hidden Population Size Estimation From
Respondent-Driven Sampling: A Network
Approach . . . . . . . . . . . . . . . . 755--766
Sebastian Calonico and
Matias D. Cattaneo and
Max H. Farrell On the Effect of Bias Estimation on
Coverage Accuracy in Nonparametric
Inference . . . . . . . . . . . . . . . 767--779
Alexander R. Luedtke and
Mark J. van der Laan Parametric-Rate Inference for One-Sided
Differentiable Parameters . . . . . . . 780--788
Ery Arias-Castro and
Rui M. Castro and
Ervin Tánczos and
Meng Wang Distribution-Free Detection of
Structured Anomalies: Permutation and
Rank-Based Scans . . . . . . . . . . . . 789--801
Li Ma and
Jacopo Soriano Efficient Functional ANOVA Through
Wavelet-Domain Markov Groves . . . . . . 802--818
Joshua Chan and
Roberto Leon-Gonzalez and
Rodney W. Strachan Invariant Inference and Efficient
Computation in the Static Factor Model 819--828
HaiYing Wang and
Rong Zhu and
Ping Ma Optimal Subsampling for Large Sample
Logistic Regression . . . . . . . . . . 829--844
Dungang Liu and
Heping Zhang Residuals and Diagnostics for Ordinal
Regression Models: A Surrogate Approach 845--854
Alexandre Bouchard-Côté and
Sebastian J. Vollmer and
Arnaud Doucet The Bouncy Particle Sampler: A
Nonreversible Rejection-Free Markov
Chain Monte Carlo Method . . . . . . . . 855--867
Rahul Mukerjee and
Tirthankar Dasgupta and
Donald B. Rubin Using Standard Tools From Finite
Population Sampling to Improve Causal
Inference for Complex Experiments . . . 868--881
Dandan Liu and
Tianxi Cai and
Anna Lok and
Yingye Zheng Nonparametric Maximum Likelihood
Estimators of Time-Dependent Accuracy
Measures for Survival Outcome Under
Two-Stage Sampling Designs . . . . . . . 882--892
Kin Yau Wong and
Donglin Zeng and
D. Y. Lin Efficient Estimation for Semiparametric
Structural Equation Models With Censored
Data . . . . . . . . . . . . . . . . . . 893--905
Ori Davidov and
Casey M. Jelsema and
Shyamal Peddada Testing for Inequality Constraints in
Singular Models by Trimming or
Winsorizing the Variance Matrix . . . . 906--918
Jia Chen and
Degui Li and
Oliver Linton and
Zudi Lu Semiparametric Ultra-High Dimensional
Model Averaging of Nonlinear Dynamic
Time Series . . . . . . . . . . . . . . 919--932
Sonja A. Swanson and
Miguel A. Hernán and
Matthew Miller and
James M. Robins and
Thomas S. Richardson Partial Identification of the Average
Treatment Effect Using Instrumental
Variables: Review of Methods for Binary
Instruments, Treatments, and Outcomes 933--947
Anonymous Book Reviews . . . . . . . . . . . . . . 948--953
Faming Liang and
Qizhai Li and
Lei Zhou Bayesian Neural Networks for Selection
of Drug Sensitive Genes . . . . . . . . 955--972
Uri Keich and
William Stafford Noble Controlling the FDR in Imperfect Matches
to an Incomplete Database . . . . . . . 973--982
Michele Santacatterina and
Matteo Bottai Optimal Probability Weights for
Inference With Constrained Precision . . 983--991
Sungduk Kim and
Paul S. Albert Latent Variable Poisson Models for
Assessing the Regularity of Circadian
Patterns over Time . . . . . . . . . . . 992--1002
Daniel Backenroth and
Jeff Goldsmith and
Michelle D. Harran and
Juan C. Cortes and
John W. Krakauer and
Tomoko Kitago Modeling Motor Learning Using
Heteroscedastic Functional Principal
Components Analysis . . . . . . . . . . 1003--1015
Suyu Liu and
Beibei Guo and
Ying Yuan A Bayesian Phase I/II Trial Design for
Immunotherapy . . . . . . . . . . . . . 1016--1027
Daisy Philtron and
Yafei Lyu and
Qunhua Li and
Debashis Ghosh Maximum Rank Reproducibility: A
Nonparametric Approach to Assessing
Reproducibility in Replicate Experiments 1028--1039
Adam N. Glynn and
Konstantin Kashin Front-Door Versus Back-Door Adjustment
With Unmeasured Confounding: Bias
Formulas for Front-Door and Hybrid
Adjustments With Application to a Job
Training Program . . . . . . . . . . . . 1040--1049
Carlos M. Carvalho and
Hedibert F. Lopes and
Robert E. McCulloch On the Long-Run Volatility of Stocks . . 1050--1069
Qingyuan Zhao and
Dylan S. Small and
Paul R. Rosenbaum Cross-Screening in Observational Studies
That Test Many Hypotheses . . . . . . . 1070--1084
P. Richard Hahn and
Ryan Martin and
Stephen G. Walker On Recursive Bayesian Predictive
Distributions . . . . . . . . . . . . . 1085--1093
Jing Lei and
Max G'Sell and
Alessandro Rinaldo and
Ryan J. Tibshirani and
Larry Wasserman Distribution-Free Predictive Inference
for Regression . . . . . . . . . . . . . 1094--1111
Audrey Boruvka and
Daniel Almirall and
Katie Witkiewitz and
Susan A. Murphy Assessing Time-Varying Causal Effect
Moderation in Mobile Health . . . . . . 1112--1121
Ashkan Ertefaie and
Dylan S. Small and
Paul R. Rosenbaum Quantitative Evaluation of the Trade-Off
of Strengthened Instruments and Sample
Size in Observational Studies . . . . . 1122--1134
Chao Wang and
Kung-Sik Chan Quasi-Likelihood Estimation of a
Censored Autoregressive Model With
Exogenous Variables . . . . . . . . . . 1135--1145
Hao Chen and
Xu Chen and
Yi Su A Weighted Edge-Count Two-Sample Test
for Multivariate and Object Data . . . . 1146--1155
Wesley Tansey and
Oluwasanmi Koyejo and
Russell A. Poldrack and
James G. Scott False Discovery Rate Smoothing . . . . . 1156--1171
Pallavi Basu and
T. Tony Cai and
Kiranmoy Das and
Wenguang Sun Weighted False Discovery Rate Control in
Large-Scale Multiple Testing . . . . . . 1172--1183
Sokbae Lee and
Yuan Liao and
Myung Hwan Seo and
Youngki Shin Oracle Estimation of a Change Point in
High-Dimensional Quantile Regression . . 1184--1194
Quentin Clairon and
Nicolas J.-B. Brunel Optimal Control and Additive
Perturbations Help in Estimating
Ill-Posed and Uncertain Dynamical
Systems . . . . . . . . . . . . . . . . 1195--1209
José R. Berrendero and
Antonio Cuevas and
José L. Torrecilla On the Use of Reproducing Kernel Hilbert
Spaces in Functional Classification . . 1210--1218
Eric B. Laber and
Ana-Maria Staicu Functional Feature Construction for
Individualized Treatment Regimes . . . . 1219--1227
Stefan Wager and
Susan Athey Estimation and Inference of
Heterogeneous Treatment Effects using
Random Forests . . . . . . . . . . . . . 1228--1242
Lan Wang and
Yu Zhou and
Rui Song and
Ben Sherwood Quantile-Optimal Treatment Regimes . . . 1243--1254
Thomas A. Murray and
Ying Yuan and
Peter F. Thall A Bayesian Machine Learning Approach for
Optimizing Dynamic Treatment Regimes . . 1255--1267
Jianqing Fan and
Donggyu Kim Robust High-Dimensional Volatility
Matrix Estimation for High-Frequency
Factor Model . . . . . . . . . . . . . . 1268--1283
Gongjun Xu and
Zhuoran Shang Identifying Latent Structures in
Restricted Latent Class Models . . . . . 1284--1295
Jonas Mueller and
Tommi Jaakkola and
David Gifford Modeling Persistent Trends in
Distributions . . . . . . . . . . . . . 1296--1310
Harry Crane and
Walter Dempsey Edge Exchangeable Models for Interaction
Networks . . . . . . . . . . . . . . . . 1311--1326
Max Sommerfeld and
Stephan Sain and
Armin Schwartzman Confidence Regions for Spatial Excursion
Sets From Repeated Random Field
Observations, With an Application to
Climate . . . . . . . . . . . . . . . . 1327--1340
Lorenzo Trapani A Randomized Sequential Procedure to
Determine the Number of Factors . . . . 1341--1349
Matias D. Cattaneo and
Michael Jansson and
Whitney K. Newey Inference in Linear Regression Models
with Many Covariates and
Heteroscedasticity . . . . . . . . . . . 1350--1361
Quan Zhou and
Yongtao Guan On the Null Distribution of Bayes
Factors in Linear Regression . . . . . . 1362--1371
Jaewoo Park and
Murali Haran Bayesian Inference in the Presence of
Intractable Normalizing Functions . . . 1372--1390
Anonymous Book Reviews . . . . . . . . . . . . . . 1391--1394
Cheng-Han Yu and
Raquel Prado and
Hernando Ombao and
Daniel Rowe A Bayesian Variable Selection Approach
Yields Improved Detection of Brain
Activation From Complex-Valued fMRI . . 1395--1410
Denis Rybin and
Robert Lew and
Michael J. Pencina and
Maurizio Fava and
Gheorghe Doros Placebo Response as a Latent
Characteristic: Application to Analysis
of Sequential Parallel Comparison Design
Studies . . . . . . . . . . . . . . . . 1411--1430
Albert E. Parker and
Betsey Pitts and
Lindsey Lorenz and
Philip S. Stewart Polynomial Accelerated Solutions to a
Large Gaussian Model for Imaging
Biofilms: In Theory and Finite Precision 1431--1442
Simon Mak and
Chih-Li Sung and
Xingjian Wang and
Shiang-Ting Yeh and
Yu-Hung Chang and
V. Roshan Joseph and
Vigor Yang and
C. F. Jeff Wu An Efficient Surrogate Model for
Emulation and Physics Extraction of
Large Eddy Simulations . . . . . . . . . 1443--1456
Bhuvanesh Pareek and
Pulak Ghosh and
Hugh N. Wilson and
Emma K. Macdonald and
Paul Baines Tracking the Impact of Media on Voter
Choice in Real Time: A Bayesian Dynamic
Joint Model . . . . . . . . . . . . . . 1457--1475
Xueying Tang and
Malay Ghosh and
Neung Soo Ha and
Joseph Sedransk Modeling Random Effects Using
Global-Local Shrinkage Priors in Small
Area Estimation . . . . . . . . . . . . 1476--1489
Alexander D. Bolton and
Nicholas A. Heard Malware Family Discovery Using
Reversible Jump MCMC Sampling of Regimes 1490--1502
Gen Li and
Jianhua Z. Huang and
Haipeng Shen To Wait or Not to Wait: Two-Way
Functional Hazards Model for
Understanding Waiting in Call Centers 1503--1514
Abhra Sarkar and
Jonathan Chabout and
Joshua Jones Macopson and
Erich D. Jarvis and
David B. Dunson Bayesian Semiparametric Mixed Effects
Markov Models With Application to
Vocalization Syntax . . . . . . . . . . 1515--1527
Shiwen Zhao and
Barbara E. Engelhardt and
Sayan Mukherjee and
David B. Dunson Fast Moment Estimation for Generalized
Latent Dirichlet Models . . . . . . . . 1528--1540
Yichi Zhang and
Eric B. Laber and
Marie Davidian and
Anastasios A. Tsiatis Interpretable Dynamic Treatment Regimes 1541--1549
Ling Zhou and
Huazhen Lin and
Hua Liang Efficient Estimation of the
Nonparametric Mean and Covariance
Functions for Longitudinal and Sparse
Functional Data . . . . . . . . . . . . 1550--1564
Clément Dombry and
Mathieu Ribatet and
Stilian Stoev Probabilities of Concurrent Extremes . . 1565--1582
Yinchu Zhu and
Jelena Bradic Linear Hypothesis Testing in Dense
High-Dimensional Linear Models . . . . . 1583--1600
Xiaoxiao Sun and
Pang Du and
Xiao Wang and
Ping Ma Optimal Penalized Function-on-Function
Regression Under a Reproducing Kernel
Hilbert Space Framework . . . . . . . . 1601--1611
Matthew Dawson and
Hans-Georg Müller Dynamic Modeling of Conditional Quantile
Trajectories, With Application to
Longitudinal Snippet Data . . . . . . . 1612--1624
Minjie Fan and
Debashis Paul and
Thomas C. M. Lee and
Tomoko Matsuo Modeling Tangential Vector Fields on a
Sphere . . . . . . . . . . . . . . . . . 1625--1636
Bing Li and
Eftychia Solea A Nonparametric Graphical Model for
Functional Data With Application to
Brain Networks Based on fMRI . . . . . . 1637--1655
Siddhartha Chib and
Minchul Shin and
Anna Simoni Bayesian Estimation and Comparison of
Moment Condition Models . . . . . . . . 1656--1668
Zachary M. Thomas and
Steven N. MacEachern and
Mario Peruggia Reconciling Curvature and Importance
Sampling Based Procedures for
Summarizing Case Influence in Bayesian
Models . . . . . . . . . . . . . . . . . 1669--1683
Veronika Rocková Particle EM for Variable Selection . . . 1684--1697
Chengchun Shi and
Wenbin Lu and
Rui Song A Massive Data Framework for
$M$-Estimators with Cubic-Rate . . . . . 1698--1709
Lorin Crawford and
Kris C. Wood and
Xiang Zhou and
Sayan Mukherjee Bayesian Approximate Kernel Regression
With Variable Selection . . . . . . . . 1710--1721
Jonas Harnau and
Bent Nielsen Over-Dispersed Age-Period-Cohort Models 1722--1732
Roger S. Zoh and
Abhra Sarkar and
Raymond J. Carroll and
Bani K. Mallick A Powerful Bayesian Test for Equality of
Means in High Dimensions . . . . . . . . 1733--1741
David Rossell and
Francisco J. Rubio Tractable Bayesian Variable Selection:
Beyond Normality . . . . . . . . . . . . 1742--1758
Francis K. C. Hui and
Samuel Müller and
A. H. Welsh Sparse Pairwise Likelihood Estimation
for Multivariate Longitudinal Mixed
Models . . . . . . . . . . . . . . . . . 1759--1769
Ruth Heller and
Nilanjan Chatterjee and
Abba Krieger and
Jianxin Shi Post-Selection Inference Following
Aggregate Level Hypothesis Testing in
Large-Scale Genomic Data . . . . . . . . 1770--1783
Federico A. Bugni and
Ivan A. Canay and
Azeem M. Shaikh Inference Under Covariate-Adaptive
Randomization . . . . . . . . . . . . . 1784--1796
Chenglong Ye and
Yi Yang and
Yuhong Yang Sparsity Oriented Importance Learning
for High-Dimensional Linear Regression 1797--1812
Yacouba Boubacar Ma\"\inassara and
Bruno Saussereau Diagnostic Checking in Multivariate ARMA
Models With Dependent Errors Using
Normalized Residual Autocorrelations . . 1813--1827
Yingbo Li and
Merlise A. Clyde Mixtures of $g$-Priors in Generalized
Linear Models . . . . . . . . . . . . . 1828--1845
Tingting Zhou and
Michael R. Elliott and
Roderick J. A. Little Penalized Spline of Propensity Methods
for Treatment Comparison . . . . . . . . 1--19
Andrew J. Spieker Comment on Penalized Spline of
Propensity Methods for Treatment
Comparison by Zhou, Elliott, and Little 20--23
Joseph Antonelli and
Michael J. Daniels Discussion of PENCOMP . . . . . . . . . 24--27
Qingxia Chen and
Frank E. Harrell Jr. Comment: Penalized Spline of Propensity
Methods for Treatment Comparison . . . . 28--30
Shu Yang and
Donglin Zeng Discussion of ``Penalized Spline of
Propensity Methods for Treatment
Comparison'' by Zhou, Elliott, and
Little . . . . . . . . . . . . . . . . . 30--32
Georgia Papadogeorgou and
Fan Li Discussion of ``Penalized Spline of
Propensity Methods for Treatment
Comparison'' . . . . . . . . . . . . . . 32--35
Tingting Zhou and
Michael R. Elliott and
Roderick J. A. Little Penalized Spline of Propensity Methods
for Treatment Comparison: Rejoinder . . 35--38
Cody Alsaker and
F. Jay Breidt and
Mark J. van der Woerd Minimum Mean Squared Error Estimation of
the Radius of Gyration in Small-Angle
X-Ray Scattering Experiments . . . . . . 39--47
Yang Ni and
Francesco C. Stingo and
Min Jin Ha and
Rehan Akbani and
Veerabhadran Baladandayuthapani Bayesian Hierarchical Varying-Sparsity
Regression Models with Application to
Cancer Proteogenomics . . . . . . . . . 48--60
Mark D. Risser and
Christopher J. Paciorek and
Dáithí A. Stone Spatially Dependent Multiple Testing
Under Model Misspecification, With
Application to Detection of
Anthropogenic Influence on Extreme
Climate Events . . . . . . . . . . . . . 61--78
Kwonsang Lee and
Dylan S. Small Estimating the Malaria Attributable
Fever Fraction Accounting for Parasites
Being Killed by Fever and Measurement
Error . . . . . . . . . . . . . . . . . 79--92
Edward H. Kennedy and
Steve Harris and
Luke J. Keele Survivor--Complier Effects in the
Presence of Selection on Treatment, With
Application to a Study of Prompt ICU
Admission . . . . . . . . . . . . . . . 93--104
Mamadou Yauck and
Louis-Paul Rivest and
Greg Rothman Capture--Recapture Methods for Data on
the Activation of Applications on Mobile
Phones . . . . . . . . . . . . . . . . . 105--114
Anna Louise Schröder and
Hernando Ombao FreSpeD: Frequency-Specific Change-Point
Detection in Epileptic Seizure
Multi-Channel EEG Data . . . . . . . . . 115--128
Li Li and
Alejandro Jara and
María José García-Zattera and
Timothy E. Hanson Marginal Bayesian Semiparametric
Modeling of Mismeasured Multivariate
Interval-Censored Data . . . . . . . . . 129--145
Stéphane Guerrier and
Elise Dupuis-Lozeron and
Yanyuan Ma and
Maria-Pia Victoria-Feser Simulation-Based Bias Correction Methods
for Complex Models . . . . . . . . . . . 146--157
Jingshu Wang and
Art B. Owen Admissibility in Partial Conjunction
Testing . . . . . . . . . . . . . . . . 158--168
Paul Fearnhead and
Guillem Rigaill Changepoint Detection in the Presence of
Outliers . . . . . . . . . . . . . . . . 169--183
Yang Ni and
Francesco C. Stingo and
Veerabhadran Baladandayuthapani Bayesian Graphical Regression . . . . . 184--197
Xiaojun Mao and
Song Xi Chen and
Raymond K. W. Wong Matrix Completion With Covariate
Information . . . . . . . . . . . . . . 198--210
Xinghao Qiao and
Shaojun Guo and
Gareth M. James Functional Graphical Models . . . . . . 211--222
Mauricio Sadinle and
Jing Lei and
Larry Wasserman Least Ambiguous Set-Valued Classifiers
With Bounded Error Levels . . . . . . . 223--234
Amy Willis Confidence Sets for Phylogenetic Trees 235--244
Li Ma and
Jialiang Mao Fisher Exact Scanning for Dependency . . 245--258
Anna Bellach and
Michael R. Kosorok and
Ludger Rüschendorf and
Jason P. Fine Weighted NPMLE for the Subdistribution
of a Competing Risk . . . . . . . . . . 259--270
Yang Li and
Jun S. Liu Robust Variable and Interaction
Selection for Logistic Regression and
General Index Models . . . . . . . . . . 271--286
Yacine A\"\it-Sahalia and
Dacheng Xiu Principal Component Analysis of
High-Frequency Data . . . . . . . . . . 287--303
Peng Ding and
Avi Feller and
Luke Miratrix Decomposing Treatment Effect Variation 304--317
Rahul Mazumder and
Arkopal Choudhury and
Garud Iyengar and
Bodhisattva Sen A Computational Framework for
Multivariate Convex Regression and Its
Variants . . . . . . . . . . . . . . . . 318--331
Benjamin B. Risk and
David S. Matteson and
David Ruppert Linear Non-Gaussian Component Analysis
Via Maximum Likelihood . . . . . . . . . 332--343
S. Luo and
R. Song and
M. Styner and
J. H. Gilmore and
H. Zhu FSEM: Functional Structural Equation
Models for Twin Functional Data . . . . 344--357
Zijian Guo and
Wanjie Wang and
T. Tony Cai and
Hongzhe Li Optimal Estimation of Genetic
Relatedness in High-Dimensional Linear
Models . . . . . . . . . . . . . . . . . 358--369
Jon Arni Steingrimsson and
Liqun Diao and
Robert L. Strawderman Censoring Unbiased Regression Trees and
Ensembles . . . . . . . . . . . . . . . 370--383
Yaowu Liu and
Jun Xie Accurate and Efficient $P$-value
Calculation Via Gaussian Approximation:
A Novel Monte-Carlo Method . . . . . . . 384--392
HaiYing Wang and
Min Yang and
John Stufken Information-Based Optimal Subdata
Selection for Big Data Linear Regression 393--405
Raymond K. W. Wong and
Yehua Li and
Zhengyuan Zhu Partially Linear Functional Additive
Models for Multivariate Functional Data 406--418
Damian Brzyski and
Alexej Gossmann and
Weijie Su and
Ma\lgorzata Bogdan Group SLOPE --- Adaptive Selection of
Groups of Predictors . . . . . . . . . . 419--433
Raphaël Huser and
Jennifer L. Wadsworth Modeling Spatial Processes with Unknown
Extremal Dependence Class . . . . . . . 434--444
Geir-Arne Fuglstad and
Daniel Simpson and
Finn Lindgren and
Håvard Rue Constructing Priors that Penalize the
Complexity of Gaussian Random Fields . . 445--452
Zeda Li and
Robert T. Krafty Adaptive Bayesian Time-Frequency
Analysis of Multivariate Time Series . . 453--465
Marco Di Marzio and
Agnese Panzera and
Charles C. Taylor Nonparametric Rotations for
Sphere--Sphere Regression . . . . . . . 466--476
Anonymous Book Reviews . . . . . . . . . . . . . . 477--483
Anonymous Corrigendum . . . . . . . . . . . . . . 484--484
Anonymous Correction . . . . . . . . . . . . . . . 485--485
Anonymous Correction . . . . . . . . . . . . . . . 486--486
Anonymous Editorial Collaborators . . . . . . . . 487--494
Wonyul Lee and
Michelle F. Miranda and
Philip Rausch and
Veerabhadran Baladandayuthapani and
Massimo Fazio and
J. Crawford Downs and
Jeffrey S. Morris Bayesian Semiparametric Functional Mixed
Models for Serially Correlated
Functional Data, With Application to
Glaucoma Data . . . . . . . . . . . . . 495--513
Oscar Hernan Madrid Padilla and
Alex Athey and
Alex Reinhart and
James G. Scott Sequential Nonparametric Tests for a
Change in Distribution: An Application
to Detecting Radiological Anomalies . . 514--528
Naoki Egami and
Kosuke Imai Causal Interaction in Factorial
Experiments: Application to Conjoint
Analysis . . . . . . . . . . . . . . . . 529--540
Seung Jun Shin and
Ying Yuan and
Louise C. Strong and
Jasmina Bojadzieva and
Wenyi Wang Bayesian Semiparametric Estimation of
Cancer-Specific Age-at-Onset Penetrance
With Application to Li--Fraumeni
Syndrome . . . . . . . . . . . . . . . . 541--552
Lei Huang and
Jiawei Bai and
Andrada Ivanescu and
Tamara Harris and
Mathew Maurer and
Philip Green and
Vadim Zipunnikov Multilevel Matrix-Variate Analysis and
its Application to
Accelerometry-Measured Physical Activity
in Clinical Populations . . . . . . . . 553--564
Domenico Giannone and
Michele Lenza and
Giorgio E. Primiceri Priors for the Long Run . . . . . . . . 565--580
Xiangyu Luo and
Yingying Wei Batch Effects Correction with Unknown
Subtypes . . . . . . . . . . . . . . . . 581--594
Yakuan Chen and
Jeff Goldsmith and
R. Todd Ogden Functional Data Analysis of Dynamic PET
Data . . . . . . . . . . . . . . . . . . 595--609
Will Landau and
Jarad Niemi and
Dan Nettleton Fully Bayesian Analysis of RNA-seq
Counts for the Detection of Gene
Expression Heterosis . . . . . . . . . . 610--621
Yifei Wang and
Daniel J. Tancredi and
Diana L. Miglioretti Joint Indirect Standardization When Only
Marginal Distributions are Observed in
the Index Population . . . . . . . . . . 622--630
Ganggang Xu and
Rasmus Waagepetersen and
Yongtao Guan Stochastic Quasi-Likelihood for
Case-Control Point Pattern Data . . . . 631--644
Edward H. Kennedy Nonparametric Causal Effects Based on
Incremental Propensity Score
Interventions . . . . . . . . . . . . . 645--656
Leqin Wu and
Xing Qiu and
Ya-xiang Yuan and
Hulin Wu Parameter Estimation and Variable
Selection for Big Systems of Linear
Ordinary Differential Equations: a
Matrix-Based Approach . . . . . . . . . 657--667
Michael I. Jordan and
Jason D. Lee and
Yun Yang Communication-Efficient Distributed
Statistical Inference . . . . . . . . . 668--681
Michael Hornstein and
Roger Fan and
Kerby Shedden and
Shuheng Zhou Joint Mean and Covariance Estimation
with Unreplicated Matrix-Variate Data 682--696
Ryan J. Tibshirani and
Saharon Rosset Excess Optimism: How Biased is the
Apparent Error of an Estimator Tuned by
SURE? . . . . . . . . . . . . . . . . . 697--712
Qingyuan Zhao On Sensitivity Value of Pair-Matched
Observational Studies . . . . . . . . . 713--722
Benjamin Frot and
Luke Jostins and
Gilean McVean Graphical Model Selection for Gaussian
Conditional Random Fields in the
Presence of Latent Variables . . . . . . 723--734
Satyajit Ghosh and
Kshitij Khare and
George Michailidis High-Dimensional Posterior Consistency
in Bayesian Vector Autoregressive Models 735--748
Alexandre Belloni and
Victor Chernozhukov and
Kengo Kato Valid Post-Selection Inference in
High-Dimensional Approximately Sparse
Quantile Regression Models . . . . . . . 749--758
Yuanpei Cao and
Wei Lin and
Hongzhe Li Large Covariance Estimation for
Compositional Data Via
Composition-Adjusted Thresholding . . . 759--772
Zhenguo Gao and
Zuofeng Shang and
Pang Du and
John L. Robertson Variance Change Point Detection Under a
Smoothly-Changing Mean Trend with
Application to Liver Procurement . . . . 773--781
Jacob Bien Graph-Guided Banding of the Covariance
Matrix . . . . . . . . . . . . . . . . . 782--792
Prosper Dovonon and
Sílvia Gonçalves and
Ulrich Hounyo and
Nour Meddahi Bootstrapping High-Frequency Jump Tests 793--803
Shanika L. Wickramasuriya and
George Athanasopoulos and
Rob J. Hyndman Optimal Forecast Reconciliation for
Hierarchical and Grouped Time Series
Through Trace Minimization . . . . . . . 804--819
Simon N. Vandekar and
Philip T. Reiss and
Russell T. Shinohara Interpretable High-Dimensional Inference
Via Score Projection With an Application
in Neuroimaging . . . . . . . . . . . . 820--830
Matias Quiroz and
Robert Kohn and
Mattias Villani and
Minh-Ngoc Tran Speeding Up MCMC by Efficient Data
Subsampling . . . . . . . . . . . . . . 831--843
Simon Mak and
C. F. Jeff Wu cmenet: A New Method for Bi-Level
Variable Selection of Conditional Main
Effects . . . . . . . . . . . . . . . . 844--856
Ting Yan and
Binyan Jiang and
Stephen E. Fienberg and
Chenlei Leng Statistical Inference in a Directed
Network Model With Covariates . . . . . 857--868
Likai Chen and
Wei Biao Wu Testing for Trends in High-Dimensional
Time Series . . . . . . . . . . . . . . 869--881
Rong Zhu and
Alan T. K. Wan and
Xinyu Zhang and
Guohua Zou A Mallows-Type Model Averaging Estimator
for the Varying-Coefficient Partially
Linear Model . . . . . . . . . . . . . . 882--892
Junxian Geng and
Anirban Bhattacharya and
Debdeep Pati Probabilistic Community Detection With
Unknown Number of Communities . . . . . 893--905
Éric Lesage and
David Haziza and
Xavier D'Haultfoeuille A Cautionary Tale on Instrumental
Calibration for the Treatment of
Nonignorable Unit Nonresponse in Surveys 906--915
Rongmao Zhang and
Peter Robinson and
Qiwei Yao Identifying Cointegration by
Eigenanalysis . . . . . . . . . . . . . 916--927
Wenliang Pan and
Xueqin Wang and
Weinan Xiao and
Hongtu Zhu A Generic Sure Independence Screening
Procedure . . . . . . . . . . . . . . . 928--937
Jessica G. Young and
Roger W. Logan and
James M. Robins and
Miguel A. Hernán Inverse Probability Weighted Estimation
of Risk Under Representative
Interventions in Observational Studies 938--947
Jing Su Book Review . . . . . . . . . . . . . . 948--948
Qinshu Lian and
James S. Hodges and
Haitao Chu A Bayesian Hierarchical Summary Receiver
Operating Characteristic Model for
Network Meta-Analysis of Diagnostic
Tests . . . . . . . . . . . . . . . . . 949--961
Steffen Ventz and
Matteo Cellamare and
Sergio Bacallado and
Lorenzo Trippa Bayesian Uncertainty Directed Trial
Designs . . . . . . . . . . . . . . . . 962--974
Zhonghua Liu and
Xihong Lin A Geometric Perspective on the Power of
Principal Component Association Tests in
Multiple Phenotype Studies . . . . . . . 975--990
Qian Li and
Damla Sentürk and
Catherine A. Sugar and
Shafali Jeste and
Charlotte DiStefano and
Joel Frohlich and
Donatello Telesca Inferring Brain Signals Synchronicity
From a Sample of EEG Readings . . . . . 991--1001
Justin Strait and
Oksana Chkrebtii and
Sebastian Kurtek Automatic Detection and Uncertainty
Quantification of Landmarks on Elastic
Curves . . . . . . . . . . . . . . . . . 1002--1017
Yang Chen and
Xiao-Li Meng and
Xufei Wang and
David A. van Dyk and
Herman L. Marshall and
Vinay L. Kashyap Calibration Concordance for Astronomical
Instruments via Multiplicative Shrinkage 1018--1037
David Benkeser and
Peter B. Gilbert and
Marco Carone Estimating and Testing Vaccine Sieve
Effects Using Machine Learning . . . . . 1038--1049
Furong Li and
Huiyan Sang Spatial Homogeneity Pursuit of
Regression Coefficients for Large
Datasets . . . . . . . . . . . . . . . . 1050--1062
Samuel I. Berchuck and
Jean-Claude Mwanza and
Joshua L. Warren Diagnosing Glaucoma Progression With
Visual Field Data Using a Spatiotemporal
Boundary Detection Method . . . . . . . 1063--1074
Jesson J. Einmahl and
John H. J. Einmahl and
Laurens de Haan Limits to Human Life Span Through
Extreme Value Theory . . . . . . . . . . 1075--1080
Shahin Tavakoli and
Davide Pigoli and
John A. D. Aston and
John S. Coleman A Spatial Modeling Approach for
Linguistic Object Data: Analyzing
Dialect Sound Variations Across Great
Britain . . . . . . . . . . . . . . . . 1081--1096
Ian L. Dryden and
Simon P. Preston and
Katie E. Severn Discussion: Object-Oriented Data
Analysis, Power Metrics, and Graph
Laplacians . . . . . . . . . . . . . . . 1097--1098
Alexander Petersen and
Hans-Georg Müller Discussion: A Spatial Modeling Approach
for Linguistic Object Data: Analyzing
Dialect Sound Variations Across Great
Britain, by Shahin Tavakoli et al. . . . 1099--1101
J. S. Marron Discussion: A Spatial Modeling Approach
for Linguistic Object Data: Analysing
Dialect Sound Variations Across Great
Britain, by Shahin Tavakoli et al. . . . 1102--1102
Shahin Tavakoli and
Davide Pigoli and
John A. D. Aston and
John S. Coleman Rejoinder for ``A Spatial Modeling
Approach for Linguistic Object Data:
Analyzing Dialect Sound Variations
Across Great Britain'' . . . . . . . . . 1103--1104
Patrick Rubin-Delanchy and
Nicholas A. Heard and
Daniel J. Lawson Meta-Analysis of Mid-$p$-Values: Some
New Results based on the Convex Order 1105--1112
Jeffrey W. Miller and
David B. Dunson Robust Bayesian Inference via Coarsening 1113--1125
Mickaël De Backer and
Anouar El Ghouch and
Ingrid Van Keilegom An Adapted Loss Function for Censored
Quantile Regression . . . . . . . . . . 1126--1137
Xinbing Kong and
Jiangyan Wang and
Jinbao Xing and
Chao Xu and
Chao Ying Factor and Idiosyncratic Empirical
Processes . . . . . . . . . . . . . . . 1138--1146
Yixin Wang and
David M. Blei Frequentist Consistency of Variational
Bayes . . . . . . . . . . . . . . . . . 1147--1161
Ery Arias-Castro and
Beatriz Pateiro-López and
Alberto Rodríguez-Casal Minimax Estimation of the Volume of a
Set Under the Rolling Ball Condition . . 1162--1173
Marco Carone and
Alexander R. Luedtke and
Mark J. van der Laan Toward Computerized Efficient Estimation
in Infinite-Dimensional Models . . . . . 1174--1190
Lixia Hu and
Tao Huang and
Jinhong You Estimation and Identification of a
Varying-Coefficient Additive Model for
Locally Stationary Processes . . . . . . 1191--1204
Naveen N. Narisetty and
Juan Shen and
Xuming He Skinny Gibbs: A Consistent and Scalable
Gibbs Sampler for Model Selection . . . 1205--1217
Lingrui Gan and
Naveen N. Narisetty and
Feng Liang Bayesian Regularization for Graphical
Models With Unequal Shrinkage . . . . . 1218--1231
Fei Gao and
Donglin Zeng and
David Couper and
D. Y. Lin Semiparametric Regression Analysis of
Multiple Right- and Interval-Censored
Events . . . . . . . . . . . . . . . . . 1232--1240
Shirong Deng and
Xingqiu Zhao Covariate-Adjusted Regression for
Distorted Longitudinal Data With
Informative Observation Times . . . . . 1241--1250
Jia Guo and
Bu Zhou and
Jin-Ting Zhang New Tests for Equality of Several
Covariance Functions for Functional Data 1251--1263
Niklas Pfister and
Peter Bühlmann and
Jonas Peters Invariant Causal Prediction for
Sequential Data . . . . . . . . . . . . 1264--1276
Wei Qian and
Shanshan Ding and
R. Dennis Cook Sparse Minimum Discrepancy Approach to
Sufficient Dimension Reduction with
Simultaneous Variable Selection in
Ultrahigh Dimension . . . . . . . . . . 1277--1290
Qingyuan Zhao and
Dylan S. Small and
Weijie Su Multiple Testing When Many $p$-Values
are Uniformly Conservative, with
Application to Testing Qualitative
Interaction in Educational Interventions 1291--1304
Yuqing Pan and
Qing Mai and
Xin Zhang Covariate-Adjusted Tensor Classification
in High Dimensions . . . . . . . . . . . 1305--1319
Shulei Wang and
Ming Yuan Combined Hypothesis Testing on Graphs
With Applications to Gene Set Enrichment
Analysis . . . . . . . . . . . . . . . . 1320--1338
Frank Windmeijer and
Helmut Farbmacher and
Neil Davies and
George Davey Smith On the Use of the Lasso for Instrumental
Variables Estimation with Some Invalid
Instruments . . . . . . . . . . . . . . 1339--1350
Yuval Benjamini and
Jonathan Taylor and
Rafael A. Irizarry Selection-Corrected Statistical
Inference for Region Detection With
High-Throughput Assays . . . . . . . . . 1351--1365
Abdelaati Daouia and
Ir\`ene Gijbels and
Gilles Stupfler Extremiles: A New Perspective on
Asymmetric Least Squares . . . . . . . . 1366--1381
J. C. Escanciano and
S. C. Goh Quantile-Regression Inference With
Adaptive Control of Size . . . . . . . . 1382--1393
James E. Johndrow and
Aaron Smith and
Natesh Pillai and
David B. Dunson MCMC for Imbalanced Categorical Data . . 1394--1403
Wensheng Zhu and
Donglin Zeng and
Rui Song Proper Inference for Value Function in
High-Dimensional $Q$-Learning for
Dynamic Treatment Regimes . . . . . . . 1404--1417
Hongying Dai Book Review: \booktitleAsymptotic
Analysis of Mixed Effects Models:
Theory, Applications, and Open Problems 1418--1420
Kaixian Yu Book Review: \booktitleData Science
Foundations: Geometry and Topology of
Complex Hierarchic Systems and Big Data
Analytics . . . . . . . . . . . . . . . 1420--1421
Shu Yang Book Review: \booktitleFlexible
Imputation of Missing Data, 2nd ed. . . 1421--1421
Ofer Harel Book Review: \booktitleMissing and
Modified Data in Nonparametric
Estimation: With R Examples . . . . . . 1421--1423
Anna Snavely Book Review: \booktitleRandomization,
Masking, and Allocation Concealment . . 1423--1424
Chen Zhou Book Review: \booktitleRisk Theory: A
Heavy Tail Approach . . . . . . . . . . 1424--1425
Dootika Vats Book Review: \booktitleSimulation and
the Monte Carlo Method, 3rd ed. . . . . 1425--1425
Jae-Kwang Kim Book Review: \booktitleStatistical Data
Fusion . . . . . . . . . . . . . . . . . 1425--1426
Lisa Morrissey LaVange Choose to Lead . . . . . . . . . . . . . 1427--1435
Christopher Jackson and
Anne Presanis and
Stefano Conti and
Daniela De Angelis Value of Information: Sensitivity
Analysis and Research Design in Bayesian
Evidence Synthesis . . . . . . . . . . . 1436--1449
Devin Francom and
Bruno Sansó and
Vera Bulaevskaya and
Donald Lucas and
Matthew Simpson Inferring Atmospheric Release
Characteristics in a Large Computer
Experiment Using Bayesian Adaptive
Splines . . . . . . . . . . . . . . . . 1450--1465
Yimeng Xie and
Li Xu and
Jie Li and
Xinwei Deng and
Yili Hong and
Korine Kolivras and
David N. Gaines Spatial Variable Selection and An
Application to Virginia Lyme Disease
Emergence . . . . . . . . . . . . . . . 1466--1480
Oliver Stoner and
Theo Economou and
Gabriela Drummond Marques da Silva A Hierarchical Framework for Correcting
Under-Reporting in Count Data . . . . . 1481--1492
Bradley C. Saul and
Michael G. Hudgens and
Michael A. Mallin Downstream Effects of Upstream Causes 1493--1504
Zhengwu Zhang and
Maxime Descoteaux and
David B. Dunson Nonparametric Bayes Models of Fiber
Curves Connecting Brain Regions . . . . 1505--1517
Chris J. Oates and
Jon Cockayne and
Robert G. Aykroyd and
Mark Girolami Bayesian Probabilistic Numerical Methods
in Time-Dependent State Estimation for
Industrial Hydrocyclone Equipment . . . 1518--1531
Dean Knox and
Teppei Yamamoto and
Matthew A. Baum and
Adam J. Berinsky Design, Identification, and Sensitivity
Analysis for Patient Preference Trials 1532--1546
J. L. Scealy and
Andrew T. A. Wood Scaled von Mises--Fisher Distributions
and Regression Models for Paleomagnetic
Directional Data . . . . . . . . . . . . 1547--1560
Xueying Tang and
Yang Yang and
Hong-Jie Yu and
Qiao-Hong Liao and
Nikolay Bliznyuk A Spatio-Temporal Modeling Framework for
Surveillance Data of Multiple Infectious
Pathogens With Small Laboratory
Validation Sets . . . . . . . . . . . . 1561--1573
Yixin Wang and
David M. Blei The Blessings of Multiple Causes . . . . 1574--1596
Alexander D'Amour Comment: Reflections on the Deconfounder 1597--1601
Susan Athey and
Guido W. Imbens and
Michael Pollmann Comment on: ``The Blessings of Multiple
Causes'' by Yixin Wang and David M. Blei 1602--1604
Kosuke Imai and
Zhichao Jiang Comment: The Challenges of Multiple
Causes . . . . . . . . . . . . . . . . . 1605--1610
Elizabeth L. Ogburn and
Ilya Shpitser and
Eric J. Tchetgen Tchetgen Comment on ``Blessings of Multiple
Causes'' . . . . . . . . . . . . . . . . 1611--1615
Yixin Wang and
David M. Blei The Blessings of Multiple Causes:
Rejoinder . . . . . . . . . . . . . . . 1616--1619
Kai Zhang BET on Independence . . . . . . . . . . 1620--1637
Shubhadeep Chakraborty and
Xianyang Zhang Distance Metrics for Measuring Joint
Dependence with Application to Causal
Inference . . . . . . . . . . . . . . . 1638--1650
Xinran Li and
Peng Ding and
Qian Lin and
Dawei Yang and
Jun S. Liu Randomization Inference for Peer Effects 1651--1664
Iavor Bojinov and
Neil Shephard Time Series Experiments and Causal
Estimands: Exact Randomization Tests and
Trading . . . . . . . . . . . . . . . . 1665--1682
Daniel Peña and
Ezequiel Smucler and
Victor J. Yohai Forecasting Multiple Time Series With
One-Sided Dynamic Principal Components 1683--1694
Torben G. Andersen and
Martin Thyrsgaard and
Viktor Todorov Time-Varying Periodicity in Intraday
Volatility . . . . . . . . . . . . . . . 1695--1707
Anru Zhang and
Rungang Han Optimal Sparse Singular Value
Decomposition for High-Dimensional
High-Order Data . . . . . . . . . . . . 1708--1725
Qian Lin and
Zhigen Zhao and
Jun S. Liu Sparse Sliced Inverse Regression via
Lasso . . . . . . . . . . . . . . . . . 1726--1739
Efang Kong and
Yingcun Xia and
Wei Zhong Composite Coefficient of Determination
and Its Application in Ultrahigh
Dimensional Variable Screening . . . . . 1740--1751
Weixin Yao and
Debmalya Nandy and
Bruce G. Lindsay and
Francesca Chiaromonte Covariate Information Matrix for
Sufficient Dimension Reduction . . . . . 1752--1764
Francis K. C. Hui and
C. You and
H. L. Shang and
Samuel Müller Semiparametric Regression Using
Variational Approximations . . . . . . . 1765--1777
Kin Yau Wong and
Donglin Zeng and
D. Y. Lin Robust Score Tests With Missing Data in
Genomics Studies . . . . . . . . . . . . 1778--1786
X. Jessie Jeng and
Teng Zhang and
Jung-Ying Tzeng Efficient Signal Inclusion With Genomic
Applications . . . . . . . . . . . . . . 1787--1799
James M. Salter and
Daniel B. Williamson and
John Scinocca and
Viatcheslav Kharin Uncertainty Quantification for Computer
Models With Spatial Output Using
Calibration-Optimal Bases . . . . . . . 1800--1814
Gang Li and
Xiaoyan Wang Prediction Accuracy Measures for a
Nonlinear Model and for Right-Censored
Time-to-Event Data . . . . . . . . . . . 1815--1825
Stephane Shao and
Pierre E. Jacob and
Jie Ding and
Vahid Tarokh Bayesian Model Comparison with the
Hyvärinen Score: Computation and
Consistency . . . . . . . . . . . . . . 1826--1837
Annalisa Cadonna and
Athanasios Kottas and
Raquel Prado Bayesian Spectral Modeling for Multiple
Time Series . . . . . . . . . . . . . . 1838--1853
Fei Jiang and
Lu Tian and
Haoda Fu and
Takahiro Hasegawa and
L. J. Wei Robust Alternatives to ANCOVA for
Estimating the Treatment Effect via a
Randomized Comparative Study . . . . . . 1854--1864
Benjamin D. Youngman Generalized Additive Models for
Exceedances of High Thresholds With an
Application to Return Level Estimation
for U.S. Wind Gusts . . . . . . . . . . 1865--1879
Jianqing Fan and
Yuan Ke and
Qiang Sun and
Wen-Xin Zhou FarmTest: Factor-Adjusted Robust
Multiple Testing With Approximate False
Discovery Control . . . . . . . . . . . 1880--1893
Will Wei Sun and
Lexin Li Dynamic Tensor Clustering . . . . . . . 1894--1907
Zhao Ren and
Yongjian Kang and
Yingying Fan and
Jinchi Lv Tuning-Free Heterogeneous Inference in
Massive Networks . . . . . . . . . . . . 1908--1925
Neil Pearce Book Review: \booktitleHandbook of
Statistical Methods for Case-Control
Studies, by Òrnulf Borgan, Norman E.
Breslow, Nilanjan Chatterjee, Mitchell
H. Gail, Alastair Scott, and Christopher
J. Wild, eds. Boca Raton, FL: Chapman &
Hall/CRC Press, 2018, xvii + 536 pp.,
\$119.95 (H), ISBN: 978-1-49-876858-0} 1926--1928
A. Alexandre Trindade Book Review: \booktitleLinear Models and
the Relevant Distributions and Matrix
Algebra, by David A. Harville. Boca
Raton, FL: Chapman & Hall/CRC Press,
2018, xiii + 524 pp., \$135.00 (H),
ISBN: 978-1-13-857833-3.} . . . . . . . 1928--1929
Anonymous Editorial Collaborators . . . . . . . . W1930--W1938