Journal of the American Statistical Association

2008 - 2024

Continuation of Journal of the American Statistical Association.

Current editor(s): Xuming He, Jun Liu, Joseph Ibrahim and Alyson Wilson

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Volume 117, issue 540, 2022

Variation and Covariation in Large-Scale Replication Projects: An Evaluation of Replicability pp. 1605-1621

Blakeley B. McShane, Ulf Böckenholt and Karsten T. Hansen

The Potential of Factor Analysis for Replication, Generalization, and Integration pp. 1622-1626

Paul De Boeck, Michael L. DeKay and Menglin Xu

Modeling and Learning From Variation and Covariation pp. 1627-1630

Blakeley B. McShane, Ulf Böckenholt and Karsten T. Hansen

Functional Mixed Effects Clustering with Application to Longitudinal Urologic Chronic Pelvic Pain Syndrome Symptom Data pp. 1631-1641

Wensheng Guo, Mengying You, Jialin Yi, Michel A. Pontari and J. Richard Landis

Causal Structural Learning on MPHIA Individual Dataset pp. 1642-1655

Le Bao, Changcheng Li, Runze Li and Songshan Yang

Mapping the Genetic-Imaging-Clinical Pathway with Applications to Alzheimer’s Disease pp. 1656-1668

Dengdeng Yu, Linbo Wang, Dehan Kong and Hongtu Zhu

Heterogeneous Mediation Analysis on Epigenomic PTSD and Traumatic Stress in a Predominantly African American Cohort pp. 1669-1683

Fei Xue, Xiwei Tang, Grace Kim, Karestan C. Koenen, Chantel L. Martin, Sandro Galea, Derek Wildman, Monica Uddin and Annie Qu

A Regression Modeling Approach to Structured Shrinkage Estimation pp. 1684-1694

Sihai Dave Zhao and William Biscarri

Neuronized Priors for Bayesian Sparse Linear Regression pp. 1695-1710

Minsuk Shin and Jun S. Liu

Kernel Ordinary Differential Equations pp. 1711-1725

Xiaowu Dai and Lexin Li

Inference in Experiments With Matched Pairs pp. 1726-1737

Yuehao Bai, Joseph P. Romano and Azeem Shaikh

Linear Hypothesis Testing in Linear Models With High-Dimensional Responses pp. 1738-1750

Changcheng Li Runze Li

Adaptive Inference for Change Points in High-Dimensional Data pp. 1751-1762

Yangfan Zhang, Runmin Wang and Xiaofeng Shao

On the Hauck–Donner Effect in Wald Tests: Detection, Tipping Points, and Parameter Space Characterization pp. 1763-1774

Thomas W. Yee

Distributed Estimation for Principal Component Analysis: An Enlarged Eigenspace Analysis pp. 1775-1786

Xi Chen, Jason D. Lee, He Li and Yun Yang

Deep Compositional Spatial Models pp. 1787-1808

Andrew Zammit-Mangion, Tin Lok James Ng, Quan Vu and Maurizio Filippone

Directed Community Detection With Network Embedding pp. 1809-1819

Jingnan Zhang, Xin He and Junhui Wang

Two-Component Mixture Model in the Presence of Covariates pp. 1820-1834

Nabarun Deb, Sujayam Saha, Adityanand Guntuboyina and Bodhisattva Sen

Inference for High-Dimensional Linear Mixed-Effects Models: A Quasi-Likelihood Approach pp. 1835-1846

Sai Li, T. Tony Cai and Hongzhe Li

Variable Selection in the Presence of Factors: A Model Selection Perspective pp. 1847-1857

Gonzalo García-Donato and Rui Paulo

First-Order Newton-Type Estimator for Distributed Estimation and Inference pp. 1858-1874

Xi Chen, Weidong Liu and Yichen Zhang

Fast, Optimal, and Targeted Predictions Using Parameterized Decision Analysis pp. 1875-1886

Daniel R. Kowal

On Characterizations and Tests of Benford’s Law pp. 1887-1903

Lucio Barabesi, Andrea Cerasa, Andrea Cerioli and Domenico Perrotta

Preliminary Multiple-Test Estimation, With Applications to k-Sample Covariance Estimation pp. 1904-1915

Davy Paindaveine, Joséa Rasoafaraniaina and Thomas Verdebout

A Versatile Estimation Procedure Without Estimating the Nonignorable Missingness Mechanism pp. 1916-1930

Jiwei Zhao and Yanyuan Ma

Moderate-Dimensional Inferences on Quadratic Functionals in Ordinary Least Squares pp. 1931-1950

Xiao Guo and Guang Cheng

Inference of Breakpoints in High-dimensional Time Series pp. 1951-1963

Likai Chen, Weining Wang and Wei Biao Wu

Bayesian Framework for Simultaneous Registration and Estimation of Noisy, Sparse, and Fragmented Functional Data pp. 1964-1980

James Matuk, Karthik Bharath, Oksana Chkrebtii and Sebastian Kurtek

Consistent Sparse Deep Learning: Theory and Computation pp. 1981-1995

Yan Sun, Qifan Song and Faming Liang

Robust Two-Step Wavelet-Based Inference for Time Series Models pp. 1996-2013

Stéphane Guerrier, Roberto Molinari, Maria-Pia Victoria-Feser and Haotian Xu

Testing Mediation Effects Using Logic of Boolean Matrices pp. 2014-2027

Chengchun Shi and Lexin Li

Asymptotics for EBLUPs: Nested Error Regression Models pp. 2028-2042

Ziyang Lyu and A.H. Welsh

Risk Projection for Time-to-Event Outcome Leveraging Summary Statistics With Source Individual-Level Data pp. 2043-2055

Jiayin Zheng, Yingye Zheng and Li Hsu

Hierarchical Network Models for Exchangeable Structured Interaction Processes pp. 2056-2073

Walter Dempsey, Brandon Oselio and Alfred Hero

Network Functional Varying Coefficient Model pp. 2074-2085

Xuening Zhu, Zhanrui Cai and Yanyuan Ma

Nonparametric Fusion Learning for Multiparameters: Synthesize Inferences From Diverse Sources Using Data Depth and Confidence Distribution pp. 2086-2104

Dungang Liu, Regina Y. Liu and Min-ge Xie

Individual Data Protected Integrative Regression Analysis of High-Dimensional Heterogeneous Data pp. 2105-2119

Tianxi Cai, Molei Liu and Yin Xia

A Doubly Enhanced EM Algorithm for Model-Based Tensor Clustering pp. 2120-2134

Qing Mai, Xin Zhang, Yuqing Pan and Kai Deng

Design-Based Ratio Estimators and Central Limit Theorems for Clustered, Blocked RCTs pp. 2135-2146

Peter Z. Schochet, Nicole E. Pashley, Luke W. Miratrix and Tim Kautz

Detecting Abrupt Changes in the Presence of Local Fluctuations and Autocorrelated Noise pp. 2147-2162

Gaetano Romano, Guillem Rigaill, Vincent Runge and Paul Fearnhead

Generalized Bayes Quantification Learning under Dataset Shift pp. 2163-2181

Jacob Fiksel, Abhirup Datta, Agbessi Amouzou and Scott Zeger

Gradient-Based Markov Chain Monte Carlo for Bayesian Inference With Non-differentiable Priors pp. 2182-2193

Jacob Vorstrup Goldman, Torben Sell and Sumeetpal Sidhu Singh

Testing Independence Under Biased Sampling pp. 2194-2206

Yaniv Tenzer, Micha Mandel and Or Zuk

Integrative Factor Regression and Its Inference for Multimodal Data Analysis pp. 2207-2221

Quefeng Li and Lexin Li

Single-index Thresholding in Quantile Regression pp. 2222-2237

Yingying Zhang, Huixia Judy Wang and Zhongyi Zhu

Semi-Supervised Linear Regression pp. 2238-2251

David Azriel, Lawrence D. Brown, Michael Sklar, Richard Berk, Andreas Buja and Linda Zhao

Modeling Time-Varying Random Objects and Dynamic Networks pp. 2252-2267

Paromita Dubey and Hans-Georg Müller

Inference on Multi-level Partial Correlations Based on Multi-subject Time Series Data pp. 2268-2282

Yumou Qiu and Xiao-Hua Zhou

Semiparametric Regression with R pp. 2283-2287

Zixiao Wang, Yi Feng and Lin Liu

Sampling: Design and Analysis, 3rd ed pp. 2287-2288

S. Lynne Stokes

Volume 117, issue 539, 2022

Measuring Housing Vitality from Multi-Source Big Data and Machine Learning pp. 1045-1059

Yang Zhou, Lirong Xue, Zhengyu Shi, Libo Wu and Jianqing Fan

Comments on “Measuring Housing Vitality from Multi-Source Big Data and Machine Learning” pp. 1060-1062

Wei Tu, Bei Jiang and Linglong Kong

Discussion of “Measuring Housing Vitality from Multi-Source Big Data and Machine Learning” pp. 1063-1065

Sudipto Banerjee

Rejoinder pp. 1066-1067

Yang Zhou, Lirong Xue, Zhengyu Shi, Libo Wu and Jianqing Fan

Dynamic Stochastic Blockmodel Regression for Network Data: Application to International Militarized Conflicts pp. 1068-1081

Santiago Olivella, Tyler Pratt and Kosuke Imai

A Mechanistic Model of Annual Sulfate Concentrations in the United States pp. 1082-1093

Nathan B. Wikle, Ephraim M. Hanks, Lucas R. F. Henneman and Corwin M. Zigler

Copula Regression for Compound Distributions with Endogenous Covariates with Applications in Insurance Deductible Pricing pp. 1094-1109

Peng Shi and Gee Y. Lee

High-Dimensional Mediation Analysis for Selecting DNA Methylation Loci Mediating Childhood Trauma and Cortisol Stress Reactivity pp. 1110-1121

Xu Guo, Runze Li, Jingyuan Liu and Mudong Zeng

Bayesian Inferences on Neural Activity in EEG-Based Brain-Computer Interface pp. 1122-1133

Tianwen Ma, Yang Li, Jane E. Huggins, Ji Zhu and Jian Kang

A Multimodal Multilevel Neuroimaging Model for Investigating Brain Connectome Development pp. 1134-1148

Yingtian Hu, Mahmoud Zeydabadinezhad, Longchuan Li and Ying Guo

Confidence Intervals for Nonparametric Empirical Bayes Analysis pp. 1149-1166

Nikolaos Ignatiadis and Stefan Wager

Nonparametric Empirical Bayes Prediction pp. 1167-1170

Noel Cressie

Discussion of “Confidence Intervals for Nonparametric Empirical Bayes Analysis” by Ignatiadis and Wager pp. 1171-1174

Subhashis Ghosal

Coverage Properties of Empirical Bayes Intervals: A Discussion of “Confidence Intervals for Nonparametric Empirical Bayes Analysis” by Ignatiadis and Wager pp. 1175-1178

Peter Hoff

Discussion of “Confidence Intervals for Nonparametric Empirical Bayes Analysis” by Nikolaos Ignatiadis and Stefan Wager pp. 1179-1180

Bradley Efron

Comment on: “Confidence Intervals for Nonparametric Empirical Bayes Analysis” by Ignatiadis and Wager pp. 1181-1182

Guido Imbens

Discussion of “Confidence Intervals for Nonparametric Empirical Bayes Analysis” pp. 1183-1185

Marianna Pensky

Discussion of “Confidence Intervals for Nonparametric Empirical Bayes Analysis” pp. 1186-1191

Dongyue Xie and Matthew Stephens

Rejoinder: Confidence Intervals for Nonparametric Empirical Bayes Analysis pp. 1192-1199

Nikolaos Ignatiadis and Stefan Wager

Markov Neighborhood Regression for High-Dimensional Inference pp. 1200-1214

Faming Liang, Jingnan Xue and Bochao Jia

Random Partition Models for Microclustering Tasks pp. 1215-1227

Brenda Betancourt, Giacomo Zanella and Rebecca C. Steorts

Regression Analysis of Asynchronous Longitudinal Functional and Scalar Data pp. 1228-1242

Ting Li, Tengfei Li, Zhongyi Zhu and Hongtu Zhu

Coupled Generation pp. 1243-1253

Ben Dai, Xiaotong Shen and Wing Wong

Smaller p-Values via Indirect Information pp. 1254-1269

Peter Hoff

Variational Bayes for High-Dimensional Linear Regression With Sparse Priors pp. 1270-1281

Kolyan Ray and Botond Szabó

Gaining Outlier Resistance With Progressive Quantiles: Fast Algorithms and Theoretical Studies pp. 1282-1295

Yiyuan She, Zhifeng Wang and Jiahui Shen

Predicting the Number of Future Events pp. 1296-1310

Qinglong Tian, Fanqi Meng, Daniel J. Nordman and William Q. Meeker

Functional Sequential Treatment Allocation pp. 1311-1323

Anders Kock, David Preinerstorfer and Bezirgen Veliyev

Mehler’s Formula, Branching Process, and Compositional Kernels of Deep Neural Networks pp. 1324-1337

Tengyuan Liang and Hai Tran-Bach

High-Dimensional Vector Autoregressive Time Series Modeling via Tensor Decomposition pp. 1338-1356

Di Wang, Yao Zheng, Heng Lian and Guodong Li

Hierarchical Transformed Scale Mixtures for Flexible Modeling of Spatial Extremes on Datasets With Many Locations pp. 1357-1369

Likun Zhang, Benjamin A. Shaby and Jennifer L. Wadsworth

LAWS: A Locally Adaptive Weighting and Screening Approach to Spatial Multiple Testing pp. 1370-1383

T. Tony Cai, Wenguang Sun and Yin Xia

Multiscale Quantile Segmentation pp. 1384-1397

Laura Jula Vanegas, Merle Behr and Axel Munk

Modeling High-Dimensional Time Series: A Factor Model With Dynamically Dependent Factors and Diverging Eigenvalues pp. 1398-1414

Zhaoxing Gao and Ruey S. Tsay

Semiparametric Inference for Nonmonotone Missing-Not-at-Random Data: The No Self-Censoring Model pp. 1415-1423

Daniel Malinsky, Ilya Shpitser and Eric J. Tchetgen Tchetgen

Optimal Design of Experiments for Implicit Models pp. 1424-1437

Belmiro P. M. Duarte, Anthony C. Atkinson, José F. O. Granjo and Nuno M. C. Oliveira

Multicategory Angle-Based Learning for Estimating Optimal Dynamic Treatment Regimes With Censored Data pp. 1438-1451

Fei Xue, Yanqing Zhang, Wenzhuo Zhou, Haoda Fu and Annie Qu

Minimax Efficient Random Experimental Design Strategies With Application to Model-Robust Design for Prediction pp. 1452-1465

Timothy W. Waite and David C. Woods

Estimating Malaria Vaccine Efficacy in the Absence of a Gold Standard Case Definition: Mendelian Factorial Design pp. 1466-1481

Raiden B. Hasegawa and Dylan S. Small

Statistical Modeling for Spatio-Temporal Data From Stochastic Convection-Diffusion Processes pp. 1482-1499

Xiao Liu, Kyongmin Yeo and Siyuan Lu

Semiparametric Multinomial Logistic Regression for Multivariate Point Pattern Data pp. 1500-1515

Kristian Bjørn Hessellund, Ganggang Xu, Yongtao Guan and Rasmus Waagepetersen

Covariate Information Number for Feature Screening in Ultrahigh-Dimensional Supervised Problems pp. 1516-1529

Debmalya Nandy, Francesca Chiaromonte and Runze Li

Survival Regression Models With Dependent Bayesian Nonparametric Priors pp. 1530-1539

Alan Riva-Palacio, Fabrizio Leisen and Jim Griffin

Sensitivity Analysis via the Proportion of Unmeasured Confounding pp. 1540-1550

Matteo Bonvini and Edward H. Kennedy

Nonparametric Tests of the Causal Null With Nondiscrete Exposures pp. 1551-1562

Ted Westling

High-Dimensional Spatial Quantile Function-on-Scalar Regression pp. 1563-1578

Zhengwu Zhang, Xiao Wang, Linglong Kong and Hongtu Zhu

Extremile Regression pp. 1579-1586

Abdelaati Daouia, Irène Gijbels and Gilles Stupfler

An Invitation to Sequential Monte Carlo Samplers pp. 1587-1600

Chenguang Dai, Jeremy Heng, Pierre E. Jacob and Nick Whiteley

A History of Data Visualization and Graphic Communication pp. 1601-1603

Hyunwoo Park

Foundations of Statistics for Data Scientists: With R and Python pp. 1603-1604

Nicholas Horton

Volume 117, issue 538, 2022

Bayesian Edge Regression in Undirected Graphical Models to Characterize Interpatient Heterogeneity in Cancer pp. 533-546

Zeya Wang, Veerabhadran Baladandayuthapani, Ahmed O. Kaseb, Hesham M. Amin, Manal M. Hassan, Wenyi Wang and Jeffrey S. Morris

Bayesian Spatial Binary Regression for Label Fusion in Structural Neuroimaging pp. 547-560

D. Andrew Brown, Christopher S. McMahan, Russell T. Shinohara and Kristin A. Linn

A Cross-Validated Ensemble Approach to Robust Hypothesis Testing of Continuous Nonlinear Interactions: Application to Nutrition-Environment Studies pp. 561-573

Jeremiah Zhe Liu, Wenying Deng, Jane Lee, Pi-i Debby Lin, Linda Valeri, David C. Christiani, David C. Bellinger, Robert O. Wright, Maitreyi M. Mazumdar and Brent A. Coull

Do We Exploit all Information for Counterfactual Analysis? Benefits of Factor Models and Idiosyncratic Correction pp. 574-590

Jianqing Fan, Ricardo Masini and Marcelo Medeiros

Toward Causal Inference for Spatio-Temporal Data: Conflict and Forest Loss in Colombia pp. 591-601

Rune Christiansen, Matthias Baumann, Tobias Kuemmerle, Miguel D. Mahecha and Jonas Peters

Modeling Pregnancy Outcomes Through Sequentially Nested Regression Models pp. 602-616

Xuan Bi, Long Feng, Cai Li and Heping Zhang

Optimizing the JSM Program pp. 617-626

Luca Frigau, Qiuyi Wu and David Banks

Distribution-Free Multisample Tests Based on Optimal Matchings With Applications to Single Cell Genomics pp. 627-638

Somabha Mukherjee, Divyansh Agarwal, Nancy R. Zhang and Bhaswar B. Bhattacharya

The Hellinger Correlation pp. 639-653

Gery Geenens and Pierre Lafaye de Micheaux

Semiparametric Fractional Imputation Using Gaussian Mixture Models for Handling Multivariate Missing Data pp. 654-663

Hejian Sang, Jae Kwang Kim and Danhyang Lee

A Bottom-Up Approach to Testing Hypotheses That Have a Branching Tree Dependence Structure, With Error Rate Control pp. 664-677

Yunxiao Li, Yi-Juan Hu and Glen A. Satten

Inferring Phenotypic Trait Evolution on Large Trees With Many Incomplete Measurements pp. 678-692

Gabriel Hassler, Max R. Tolkoff, William L. Allen, Lam Si Tung Ho, Philippe Lemey and Marc A. Suchard

Estimation of Low Rank High-Dimensional Multivariate Linear Models for Multi-Response Data pp. 693-703

Changliang Zou, Yuan Ke and Wenyang Zhang

Angle-Based Hierarchical Classification Using Exact Label Embedding pp. 704-717

Yiwei Fan, Xiaoling Lu, Yufeng Liu and Junlong Zhao

Cross-Validation for Correlated Data pp. 718-731

Assaf Rabinowicz and Saharon Rosset

Nonparametric Maximum Likelihood Methods for Binary Response Models With Random Coefficients pp. 732-751

Jiaying Gu and Roger Koenker

A Semiparametric Approach to Model Effect Modification pp. 752-764

Muxuan Liang and Menggang Yu

Monte Carlo Approximation of Bayes Factors via Mixing With Surrogate Distributions pp. 765-780

Chenguang Dai and Jun S. Liu

Copula Gaussian Graphical Models for Functional Data pp. 781-793

Eftychia Solea and Bing Li

Large-Scale Datastreams Surveillance via Pattern-Oriented-Sampling pp. 794-808

Haojie Ren, Changliang Zou, Nan Chen and Runze Li

Low-Rank Covariance Function Estimation for Multidimensional Functional Data pp. 809-822

Jiayi Wang, Raymond K. W. Wong and Xiaoke Zhang

Simultaneous Detection of Signal Regions Using Quadratic Scan Statistics With Applications to Whole Genome Association Studies pp. 823-834

Zilin Li, Yaowu Liu and Xihong Lin

Warp Bridge Sampling: The Next Generation pp. 835-851

Lazhi Wang, David E. Jones and Xiao-Li Meng

Estimating Number of Factors by Adjusted Eigenvalues Thresholding pp. 852-861

Jianqing Fan, Jianhua Guo and Shurong Zheng

Bayesian Regression Using a Prior on the Model Fit: The R2-D2 Shrinkage Prior pp. 862-874

Yan Dora Zhang, Brian P. Naughton, Howard D. Bondell and Brian J. Reich

Balancing Unobserved Covariates With Covariate-Adaptive Randomized Experiments pp. 875-886

Yang Liu and Feifang Hu

Heteroscedasticity-Robust Inference in Linear Regression Models With Many Covariates pp. 887-896

Koen Jochmans

A Minimax Optimal Ridge-Type Set Test for Global Hypothesis With Applications in Whole Genome Sequencing Association Studies pp. 897-908

Yaowu Liu, Zilin Li and Xihong Lin

Learning Latent Factors From Diversified Projections and Its Applications to Over-Estimated and Weak Factors pp. 909-924

Jianqing Fan and Yuan Liao

Center-Outward R-Estimation for Semiparametric VARMA Models pp. 925-938

Marc Hallin, D. La Vecchia and H. Liu

Causal Bounds for Outcome-Dependent Sampling in Observational Studies pp. 939-950

Erin E. Gabriel, Michael C. Sachs and Arvid Sjölander

Hierarchical Community Detection by Recursive Partitioning pp. 951-968

Tianxi Li, Lihua Lei, Sharmodeep Bhattacharyya, Koen Van den Berge, Purnamrita Sarkar, Peter J. Bickel and Elizaveta Levina

Highly Scalable Bayesian Geostatistical Modeling via Meshed Gaussian Processes on Partitioned Domains pp. 969-982

Michele Peruzzi, Sudipto Banerjee and Andrew O. Finley

Robust Post-Matching Inference pp. 983-995

Alberto Abadie and Jann Spiess

Asymptotic Theory of Eigenvectors for Random Matrices With Diverging Spikes pp. 996-1009

Jianqing Fan, Yingying Fan, Xiao Han and Jinchi Lv

Nonlinear Spectral Analysis: A Local Gaussian Approach pp. 1010-1027

Lars Arne Jordanger and Dag Tjøstheim

Heteroscedasticity-Adjusted Ranking and Thresholding for Large-Scale Multiple Testing pp. 1028-1040

Luella Fu, Bowen Gang, Gareth M. James and Wenguang Sun

Bayesian Thinking in Biostatistics pp. 1041-1042

Yang Ni

Correction pp. 1043-1043

The Editors

Volume 117, issue 537, 2022

On Genetic Correlation Estimation With Summary Statistics From Genome-Wide Association Studies pp. 1-11

Bingxin Zhao and Hongtu Zhu

Elucidating Age and Sex-Dependent Association Between Frontal EEG Asymmetry and Depression: An Application of Multiple Imputation in Functional Regression pp. 12-26

Adam Ciarleglio, Eva Petkova and Ofer Harel

Modeling the Marked Presence-Only Data: A Case Study of Estimating the Female Sex Worker Size in Malawi pp. 27-37

Ian Laga, Xiaoyue Niu and Le Bao

Prioritizing Autism Risk Genes Using Personalized Graphical Models Estimated From Single-Cell RNA-seq Data pp. 38-51

Jianyu Liu, Haodong Wang, Wei Sun and Yufeng Liu

Balancing Inferential Integrity and Disclosure Risk Via Model Targeted Masking and Multiple Imputation pp. 52-66

Bei Jiang, Adrian E. Raftery, Russell J. Steele and Naisyin Wang

Large-Scale Hypothesis Testing for Causal Mediation Effects with Applications in Genome-wide Epigenetic Studies pp. 67-81

Zhonghua Liu, Jincheng Shen, Richard Barfield, Joel Schwartz, Andrea A. Baccarelli and Xihong Lin

Earthquake Risk Embedded in Property Prices: Evidence From Five Japanese Cities pp. 82-93

Masako Ikefuji, Roger Laeven, Jan R. Magnus and Yuan Yue

Factor Models for High-Dimensional Tensor Time Series pp. 94-116

Rong Chen, Dan Yang and Cun-Hui Zhang

Comment on “Factor Models for High-Dimensional Tensor Time Series” by Rong Chen, Dan Yang, and Cun-Hui Zhang pp. 117-117

Oliver Linton and Haihan Tang

Comment on “Factor Models for High-Dimensional Tensor Time Series” pp. 118-123

Daniel Peña

Comments on “Factor Models for High-Dimensional Tensor Time Series” pp. 124-127

Jialin Ouyang and Ming Yuan

Rejoinder pp. 128-132

Rong Chen, Dan Yang and Cun-Hui Zhang

Spectral Inference under Complex Temporal Dynamics pp. 133-155

Jun Yang and Zhou Zhou

Testing for Balance in Social Networks pp. 156-174

Derek Feng, Randolf Altmeyer, Derek Stafford, Nicholas A. Christakis and Harrison H. Zhou

Separable Effects for Causal Inference in the Presence of Competing Events pp. 175-183

Mats J. Stensrud, Jessica G. Young, Vanessa Didelez, James M. Robins and Miguel A. Hernán

Spike-and-Slab Group Lassos for Grouped Regression and Sparse Generalized Additive Models pp. 184-197

Ray Bai, Gemma E. Moran, Joseph L. Antonelli, Yong Chen and Mary R. Boland

A Multiple-Testing Procedure for High-Dimensional Mediation Hypotheses pp. 198-213

James Y. Dai, Janet L. Stanford and Michael LeBlanc

“Generalized Measures of Correlation for Asymmetry, Nonlinearity, and Beyond”: Some Antecedents on Causality pp. 214-224

David Allen and Michael McAleer

Estimating and Accounting for Unobserved Covariates in High-Dimensional Correlated Data pp. 225-236

Chris McKennan and Dan Nicolae

Smoothing Spline Semiparametric Density Models pp. 237-250

Jiahui Yu, Jian Shi, Anna Liu and Yuedong Wang

Joint Structural Break Detection and Parameter Estimation in High-Dimensional Nonstationary VAR Models pp. 251-264

Abolfazl Safikhani and Ali Shojaie

Optimal Distributed Subsampling for Maximum Quasi-Likelihood Estimators With Massive Data pp. 265-276

Jun Yu, HaiYing Wang, Mingyao Ai and Huiming Zhang

A Mode-Jumping Algorithm for Bayesian Factor Analysis pp. 277-290

Albert Xingyi Man and Steven Andrew Culpepper

Detection of Local Differences in Spatial Characteristics Between Two Spatiotemporal Random Fields pp. 291-306

Sooin Yun, Xianyang Zhang and Bo Li

Embedding Learning pp. 307-319

Ben Dai, Xiaotong Shen and Junhui Wang

Regularized Optimal Transport of Covariates and Outcomes in Data Recoding pp. 320-333

Valérie Garès and Jérémy Omer

An Empirical Bayes Method for Chi-Squared Data pp. 334-347

Lilun Du and Inchi Hu

Mean and Covariance Estimation for Functional Snippets pp. 348-360

Zhenhua Lin and Jane-Ling Wang

Estimation of Subgraph Densities in Noisy Networks pp. 361-374

Jinyuan Chang, Eric D. Kolaczyk and Qiwei Yao

On Design Orthogonality, Maximin Distance, and Projection Uniformity for Computer Experiments pp. 375-385

Yaping Wang, Fasheng Sun and Hongquan Xu

Mini-Batch Metropolis–Hastings With Reversible SGLD Proposal pp. 386-394

Tung-Yu Wu, Y. X. Rachel Wang and Wing H. Wong

Distribution-Free Consistent Independence Tests via Center-Outward Ranks and Signs pp. 395-410

Hongjian Shi, Mathias Drton and Fang Han

Covariate Adaptive False Discovery Rate Control With Applications to Omics-Wide Multiple Testing pp. 411-427

Xianyang Zhang and Jun Chen

Model-Free Feature Screening and FDR Control With Knockoff Features pp. 428-443

Wanjun Liu, Yuan Ke, Jingyuan Liu and Runze Li

Estimating a Change Point in a Sequence of Very High-Dimensional Covariance Matrices pp. 444-454

Holger Dette, Guangming Pan and Qing Yang

Irrational Exuberance: Correcting Bias in Probability Estimates pp. 455-468

Gareth M. James, Peter Radchenko and Bradley Rava

Semiparametric Estimation of the Distribution of Episodically Consumed Foods Measured With Error pp. 469-481

Félix Camirand Lemyre, Raymond J. Carroll and Aurore Delaigle

Restricted Spatial Regression Methods: Implications for Inference pp. 482-494

Kori Khan and Catherine A. Calder

AdaBoost Semiparametric Model Averaging Prediction for Multiple Categories pp. 495-509

Jialiang Li, Jing Lv, Alan T. K. Wan and Jun Liao

Likelihood-Based Inference for Partially Observed Epidemics on Dynamic Networks pp. 510-526

Fan Bu, Allison E. Aiello, Jason Xu and Alexander Volfovsky

Dynamic Treatment Regimes: Statistical Methods for Precision Medicine pp. 527-527

Ying-Qi Zhao

An Introduction to Acceptance Sampling and SPC with R pp. 528-528

Youngjun Choe

From Fixed-X to Random-X Regression: Bias-Variance Decompositions, Covariance Penalties, and Prediction Error Estimation: Correction pp. 529-529

The Editors

Correction to: Semiparametric Inference for Non-monotone Missing-Not-at-Random Data: the No Self-Censoring Model pp. 530-530

The Editors