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 115, issue 532, 2020

The Statistical Face of a Region Under Monsoon Rainfall in Eastern India pp. 1559-1573

Kaushik Jana, Debasis Sengupta, Subrata Kundu, Arindam Chakraborty and Purnima Shaw

Bayesian Scalar on Image Regression With Nonignorable Nonresponse pp. 1574-1597

Xiangnan Feng, Tengfei Li, Xinyuan Song and Hongtu Zhu

Testing the Predictability of U.S. Housing Price Index Returns Based on an IVX-AR Model pp. 1598-1619

Bingduo Yang, Wei Long, Liang Peng and Zongwu Cai

Bayesian Double Feature Allocation for Phenotyping With Electronic Health Records pp. 1620-1634

Yang Ni, Peter Müller and Yuan Ji

Nonparametric Bayesian Instrumental Variable Analysis: Evaluating Heterogeneous Effects of Coronary Arterial Access Site Strategies pp. 1635-1644

Samrachana Adhikari, Sherri Rose and Sharon-Lise Normand

A Bayesian Latent Class Model to Predict Kidney Obstruction in the Absence of Gold Standard pp. 1645-1663

Changgee Chang, Jeong Hoon Jang, Amita Manatunga, Andrew T. Taylor and Qi Long

Calibration for Computer Experiments With Binary Responses and Application to Cell Adhesion Study pp. 1664-1674

Chih-Li Sung, Ying Hung, William Rittase, Cheng Zhu and C. F. J. Wu

Optimal Tradeoffs in Matched Designs Comparing US-Trained and Internationally Trained Surgeons pp. 1675-1688

Samuel D. Pimentel and Rachel R. Kelz

Estimating the Effects of Fine Particulate Matter on 432 Cardiovascular Diseases Using Multi-Outcome Regression With Tree-Structured Shrinkage pp. 1689-1699

Emma G. Thomas, Lorenzo Trippa, Giovanni Parmigiani and Francesca Dominici

A Tuning-free Robust and Efficient Approach to High-dimensional Regression pp. 1700-1714

Lan Wang, Bo Peng, Jelena Bradic, Runze Li and Yunan Wu

Comment on “A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression” pp. 1715-1716

Po-Ling Loh

Discussion of “A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression” pp. 1717-1719

Xiudi Li and Ali Shojaie

Comment on “A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression” pp. 1720-1725

Jianqing Fan, Cong Ma and Kaizheng Wang

Rejoinder to “A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression” pp. 1726-1729

Lan Wang, Bo Peng, Jelena Bradic, Runze Li and Yunan Wu

Flexible Sensitivity Analysis for Observational Studies Without Observable Implications pp. 1730-1746

AlexanderM. Franks, Alexander D’Amour and Avi Feller

Detecting Strong Signals in Gene Perturbation Experiments: An Adaptive Approach With Power Guarantee and FDR Control pp. 1747-1755

Leying Guan, Xi Chen and Wing Hung Wong

Structured Latent Factor Analysis for Large-scale Data: Identifiability, Estimability, and Their Implications pp. 1756-1770

Yunxiao Chen, Xiaoou Li and Siliang Zhang

Corrected Bayesian Information Criterion for Stochastic Block Models pp. 1771-1783

Jianwei Hu, Hong Qin, Ting Yan and Yunpeng Zhao

Functional Horseshoe Priors for Subspace Shrinkage pp. 1784-1797

Minsuk Shin, Anirban Bhattacharya and Valen E. Johnson

A Statistical Method for Emulation of Computer Models With Invariance-Preserving Properties, With Application to Structural Energy Prediction pp. 1798-1811

Xiao Nie, Peter Chien, Dane Morgan and Amy Kaczmarowski

Optimal Designs for the Two-Dimensional Interference Model pp. 1812-1821

A. S. Hedayat, Heng Xu and Wei Zheng

IPAD: Stable Interpretable Forecasting with Knockoffs Inference pp. 1822-1834

Yingying Fan, Jinchi Lv, Mahrad Sharifvaghefi and Yoshimasa Uematsu

Fixed Effects Testing in High-Dimensional Linear Mixed Models pp. 1835-1850

Jelena Bradic, Gerda Claeskens and Thomas Gueuning

Robust Inference Using Inverse Probability Weighting pp. 1851-1860

Xinwei Ma and Jingshen Wang

Deep Knockoffs pp. 1861-1872

Yaniv Romano, Matteo Sesia and Emmanuel Candès

On Optimal Tests for Rotational Symmetry Against New Classes of Hyperspherical Distributions pp. 1873-1887

Eduardo García-Portugués, Davy Paindaveine and Thomas Verdebout

Revealing Subgroup Structure in Ranked Data Using a Bayesian WAND pp. 1888-1901

S. R. Johnson, D. A. Henderson and R. J. Boys

Fast and Accurate Binary Response Mixed Model Analysis via Expectation Propagation pp. 1902-1916

P. Hall, I.M. Johnstone, J.T. Ormerod, M.P. Wand and J.C.F. Yu

Improved Small-Sample Estimation of Nonlinear Cross-Validated Prediction Metrics pp. 1917-1932

David Benkeser, Maya Petersen and Mark J. van der Laan

Empirical Frequency Band Analysis of Nonstationary Time Series pp. 1933-1945

Scott A. Bruce, Cheng Yong Tang, Martica H. Hall and Robert T. Krafty

Optimal Designs of Two-Phase Studies pp. 1946-1959

Ran Tao, Donglin Zeng and Dan-Yu Lin

The Five Trolls Under the Bridge: Principal Component Analysis With Asynchronous and Noisy High Frequency Data pp. 1960-1977

Dachuan Chen, Per A. Mykland and Lan Zhang

Cross-Validation With Confidence pp. 1978-1997

Jing Lei

Targeted Random Projection for Prediction From High-Dimensional Features pp. 1998-2010

Minerva Mukhopadhyay and David B. Dunson

Doubly Robust Inference With Nonprobability Survey Samples pp. 2011-2021

Yilin Chen, Pengfei Li and Changbao Wu

Mixed-Effect Time-Varying Network Model and Application in Brain Connectivity Analysis pp. 2022-2036

Jingfei Zhang, Will Wei Sun and Lexin Li

Bayesian Hierarchical Models With Conjugate Full-Conditional Distributions for Dependent Data From the Natural Exponential Family pp. 2037-2052

Jonathan R. Bradley, Scott H. Holan and Christopher K. Wikle

Adaptive Sparse Estimation With Side Information pp. 2053-2067

Trambak Banerjee, Gourab Mukherjee and Wenguang Sun

Statistical Inference for Average Treatment Effects Estimated by Synthetic Control Methods pp. 2068-2083

Kathleen T. Li

Kernel Meets Sieve: Post-Regularization Confidence Bands for Sparse Additive Model pp. 2084-2099

Junwei Lu, Mladen Kolar and Han Liu

Handbook of Approximate Bayesian Computation pp. 2100-2101

Jordan J. Franks

Handbook of Mixture Analysis pp. 2101-2102

Yen-Chi Chen

The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach pp. 2102-2104

Richard J. Cook

Editorial Collaborators pp. 2105-2113

The Editors

Volume 115, issue 531, 2020

Local Likelihood Estimation of Complex Tail Dependence Structures, Applied to U.S. Precipitation Extremes pp. 1037-1054

Daniela Castro-Camilo and Raphaël Huser

ICeD-T Provides Accurate Estimates of Immune Cell Abundance in Tumor Samples by Allowing for Aberrant Gene Expression Patterns pp. 1055-1065

Douglas R. Wilson, Chong Jin, Joseph G. Ibrahim and Wei Sun

Bayesian Nonparametric Policy Search With Application to Periodontal Recall Intervals pp. 1066-1078

Qian Guan, Brian J. Reich, Eric B. Laber and Dipankar Bandyopadhyay

Genetic Variant Set-Based Tests Using the Generalized Berk–Jones Statistic With Application to a Genome-Wide Association Study of Breast Cancer pp. 1079-1091

Ryan Sun and Xihong Lin

Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting pp. 1092-1110

Kenichiro McAlinn, Knut Are Aastveit, Jouchi Nakajima and Mike West

Fine-Scale Spatiotemporal Air Pollution Analysis Using Mobile Monitors on Google Street View Vehicles pp. 1111-1124

Yawen Guan, Margaret C. Johnson, Matthias Katzfuss, Elizabeth Mannshardt, Kyle P. Messier, Brian J. Reich and Joon J. Song

Modeling Between-Study Heterogeneity for Improved Replicability in Gene Signature Selection and Clinical Prediction pp. 1125-1138

Naim U. Rashid, Quefeng Li, Jen Jen Yeh and Joseph G. Ibrahim

Predicting Clinical Outcomes in Glioblastoma: An Application of Topological and Functional Data Analysis pp. 1139-1150

Lorin Crawford, Anthea Monod, Andrew X. Chen, Sayan Mukherjee and Raúl Rabadán

Template Independent Component Analysis: Targeted and Reliable Estimation of Subject-level Brain Networks Using Big Data Population Priors pp. 1151-1177

Amanda F. Mejia, Mary Beth Nebel, Yikai Wang, Brian S. Caffo and Ying Guo

Panel Data Analysis via Mechanistic Models pp. 1178-1188

Carles Bretó, Edward L. Ionides and Aaron A. King

Distance-Based Analysis of Ordinal Data and Ordinal Time Series pp. 1189-1200

Christian H. Weiß

A Sparse Random Projection-Based Test for Overall Qualitative Treatment Effects pp. 1201-1213

Chengchun Shi, Wenbin Lu and Rui Song

Testing for Jump Spillovers Without Testing for Jumps pp. 1214-1226

Valentina Corradi, Walter Distaso and Marcelo Fernandes

Feature Selection by Canonical Correlation Search in High-Dimensional Multiresponse Models With Complex Group Structures pp. 1227-1235

Shan Luo and Zehua Chen

GAP: A General Framework for Information Pooling in Two-Sample Sparse Inference pp. 1236-1250

Yin Xia, T. Tony Cai and Wenguang Sun

iFusion: Individualized Fusion Learning pp. 1251-1267

Jieli Shen, Regina Y. Liu and Min-ge Xie

Nonparametric Inference for Copulas and Measures of Dependence Under Length-Biased Sampling and Informative Censoring pp. 1268-1278

Yassir Rabhi and Taoufik Bouezmarni

Simultaneous Covariance Inference for Multimodal Integrative Analysis pp. 1279-1291

Yin Xia, Lexin Li, Samuel N. Lockhart and William J. Jagust

Main Effects and Interactions in Mixed and Incomplete Data Frames pp. 1292-1303

Geneviève Robin, Olga Klopp, Julie Josse, Éric Moulines and Robert Tibshirani

Likelihood Ratio Tests for a Large Directed Acyclic Graph pp. 1304-1319

Chunlin Li, Xiaotong Shen and Wei Pan

Bayesian Model Search for Nonstationary Periodic Time Series pp. 1320-1335

Beniamino Hadj-Amar, Bärbel Finkenstädt Rand, Mark Fiecas, Francis Lévi and Robert Huckstepp

Tests for Scale Changes Based on Pairwise Differences pp. 1336-1348

Carina Gerstenberger, Daniel Vogel and Martin Wendler

Comparing and Weighting Imperfect Models Using D-Probabilities pp. 1349-1360

Meng Li and David B. Dunson

A Likelihood Ratio Approach to Sequential Change Point Detection for a General Class of Parameters pp. 1361-1377

Holger Dette and Josua Gösmann

Distribution on Warp Maps for Alignment of Open and Closed Curves pp. 1378-1392

Karthik Bharath and Sebastian Kurtek

Model-Free Forward Screening Via Cumulative Divergence pp. 1393-1405

Tingyou Zhou, Liping Zhu, Chen Xu and Runze Li

Optimal Sparse Linear Prediction for Block-missing Multi-modality Data Without Imputation pp. 1406-1419

Guan Yu, Quefeng Li, Dinggang Shen and Yufeng Liu

Statistical Analysis of Functions on Surfaces, With an Application to Medical Imaging pp. 1420-1434

Eardi Lila and John A. D. Aston

Principal Boundary on Riemannian Manifolds pp. 1435-1448

Zhigang Yao and Zhenyue Zhang

Simple Local Polynomial Density Estimators pp. 1449-1455

Matias Cattaneo, Michael Jansson and Xinwei Ma

Nonparametric Estimation of Multivariate Mixtures pp. 1456-1471

Chaowen Zheng and Yichao Wu

Efficiently Inferring the Demographic History of Many Populations With Allele Count Data pp. 1472-1487

Jack Kamm, Jonathan Terhorst, Richard Durbin and Yun S. Song

Statistical Inference for Covariate-Adaptive Randomization Procedures pp. 1488-1497

Wei Ma, Yichen Qin, Yang Li and Feifang Hu

Bayesian Inference for Sequential Treatments Under Latent Sequential Ignorability pp. 1498-1517

Federico Ricciardi, Alessandra Mattei and Fabrizia Mealli

Studentized Sensitivity Analysis for the Sample Average Treatment Effect in Paired Observational Studies pp. 1518-1530

Colin B. Fogarty

Estimating Optimal Dynamic Treatment Regimes With Survival Outcomes pp. 1531-1539

Gabrielle Simoneau, Erica E. M. Moodie, Jagtar S. Nijjar, Robert W. Platt and the Scottish Early Rheumatoid Arthritis Inception Cohort Investigators

Combining Multiple Observational Data Sources to Estimate Causal Effects pp. 1540-1554

Shu Yang and Peng Ding

Handbook of Graphical Models pp. 1555-1557

Genevera I. Allen

Statistical Computing With R pp. 1557-1558

Ling Leng

Time Series Clustering and Classification pp. 1558-1558

Ming Chen

Volume 115, issue 530, 2020

Reinforcing the Impact of Statistics on Society pp. 491-500

Karen Kafadar

A Bayesian General Linear Modeling Approach to Cortical Surface fMRI Data Analysis pp. 501-520

Amanda F. Mejia, Yu (Ryan) Yue, David Bolin, Finn Lindgren and Martin A. Lindquist

Robust Clustering With Subpopulation-Specific Deviations pp. 521-537

Briana J. K. Stephenson, Amy H. Herring and Andrew Olshan

A Large-Scale Constrained Joint Modeling Approach for Predicting User Activity, Engagement, and Churn With Application to Freemium Mobile Games pp. 538-554

Trambak Banerjee, Gourab Mukherjee, Shantanu Dutta and Pulak Ghosh

Hierarchical Space-Time Modeling of Asymptotically Independent Exceedances With an Application to Precipitation Data pp. 555-569

Jean-Noël Bacro, Carlo Gaetan, Thomas Opitz and Gwladys Toulemonde

Testing and Estimation of Social Network Dependence With Time to Event Data pp. 570-582

Lin Su, Wenbin Lu, Rui Song and Danyang Huang

Bayesian Optimal Design for Ordinary Differential Equation Models With Application in Biological Science pp. 583-598

Antony M. Overstall, David C. Woods and Ben M. Parker

MIMIX: A Bayesian Mixed-Effects Model for Microbiome Data From Designed Experiments pp. 599-609

Neal S. Grantham, Yawen Guan, Brian J. Reich, Elizabeth T. Borer and Kevin Gross

Bayesian Graphical Compositional Regression for Microbiome Data pp. 610-624

Jialiang Mao, Yuhan Chen and Li Ma

Statistical Topology and the Random Interstellar Medium pp. 625-635

Robin Henderson, Irina Makarenko, Paul Bushby, Andrew Fletcher and Anvar Shukurov

Prediction, Estimation, and Attribution pp. 636-655

Bradley Efron

Discussion of the Paper “Prediction, Estimation, and Attribution” by B. Efron pp. 656-658

Emmanuel Candès and Chiara Sabatti

Discussion of Paper by Brad Efron pp. 659-659

D. R. Cox

Comment: When Is It Data Science and When Is It Data Engineering? pp. 660-662

Noel Cressie

Discussion pp. 663-664

A. C. Davison

Discussion of “Prediction, Estimation, and Attribution” by Bradley Efron pp. 665-666

Jerome Friedman, Trevor Hastie and Robert Tibshirani

Discussion of Professor Bradley Efron’s Article on “Prediction, Estimation, and Attribution” pp. 667-671

Min-ge Xie and Zheshi Zheng

The Data Science Process: One Culture pp. 672-674

Bin Yu and Rebecca Barter

Rejoinder pp. 675-677

Bradley Efron

Multi-Armed Angle-Based Direct Learning for Estimating Optimal Individualized Treatment Rules With Various Outcomes pp. 678-691

Zhengling Qi, Dacheng Liu, Haoda Fu and Yufeng Liu

Estimating Dynamic Treatment Regimes in Mobile Health Using V-Learning pp. 692-706

Daniel J. Luckett, Eric B. Laber, Anna R. Kahkoska, David M. Maahs, Elizabeth Mayer-Davis and Michael R. Kosorok

Nonparametric Estimation of Copula Regression Models With Discrete Outcomes pp. 707-720

Lu Yang, Edward W. Frees and Zhengjun Zhang

Smoothing With Couplings of Conditional Particle Filters pp. 721-729

Pierre E. Jacob, Fredrik Lindsten and Thomas B. Schön

An Extended Mallows Model for Ranked Data Aggregation pp. 730-746

Han Li, Minxuan Xu, Jun S. Liu and Xiaodan Fan

Category-Adaptive Variable Screening for Ultra-High Dimensional Heterogeneous Categorical Data pp. 747-760

Jinhan Xie, Yuanyuan Lin, Xiaodong Yan and Niansheng Tang

Estimation and Inference for Generalized Geoadditive Models pp. 761-774

Shan Yu, Guannan Wang, Li Wang, Chenhui Liu and Lijian Yang

Constrained Factor Models for High-Dimensional Matrix-Variate Time Series pp. 775-793

Elynn Y. Chen, Ruey S. Tsay and Rong Chen

Confidence Intervals for Sparse Penalized Regression With Random Designs pp. 794-809

Guan Yu, Liang Yin, Shu Lu and Yufeng Liu

Regression Analysis of Doubly Truncated Data pp. 810-821

Zhiliang Ying, Wen Yu, Ziqiang Zhao and Ming Zheng

A Geometric Variational Approach to Bayesian Inference pp. 822-835

Abhijoy Saha, Karthik Bharath and Sebastian Kurtek

Individualized Multilayer Tensor Learning With an Application in Imaging Analysis pp. 836-851

Xiwei Tang, Xuan Bi and Annie Qu

Informed Proposals for Local MCMC in Discrete Spaces pp. 852-865

Giacomo Zanella

Ensemble Kalman Methods for High-Dimensional Hierarchical Dynamic Space-Time Models pp. 866-885

Matthias Katzfuss, Jonathan R. Stroud and Christopher K. Wikle

Copula Link-Based Additive Models for Right-Censored Event Time Data pp. 886-895

Giampiero Marra and Rosalba Radice

Nonnegative Matrix Factorization Via Archetypal Analysis pp. 896-907

Hamid Javadi and Andrea Montanari

Multiresolution Functional ANOVA for Large-Scale, Many-Input Computer Experiments pp. 908-919

Chih-Li Sung, Wenjia Wang, Matthew Plumlee and Benjamin Haaland

On Prediction Properties of Kriging: Uniform Error Bounds and Robustness pp. 920-930

Wenjia Wang, Rui Tuo and C. F. Jeff Wu

Functional Censored Quantile Regression pp. 931-944

Fei Jiang, Qing Cheng, Guosheng Yin and Haipeng Shen

A Generalized Gaussian Process Model for Computer Experiments With Binary Time Series pp. 945-956

Chih-Li Sung, Ying Hung, William Rittase, Cheng Zhu and C. F. Jeff Wu

Long-Range Dependent Curve Time Series pp. 957-971

Degui Li, Peter M. Robinson and Han Lin Shang

Parsimonious Model Averaging With a Diverging Number of Parameters pp. 972-984

Xinyu Zhang, Guohua Zou, Hua Liang and Raymond J. Carroll

Expected Conditional Characteristic Function-based Measures for Testing Independence pp. 985-996

Chenlu Ke and Xiangrong Yin

Additive Functional Regression for Densities as Responses pp. 997-1010

Kyunghee Han, Hans-Georg Müller and Byeong U. Park

A Simple Two-Sample Test in High Dimensions Based on L2-Norm pp. 1011-1027

Jin-Ting Zhang, Jia Guo, Bu Zhou and Ming-Yen Cheng

Empirical Likelihood Methods in Biomedicine and Health pp. 1028-1029

Yichuan Zhao

Innovative Strategies, Statistical Solutions and Simulations for Modern Clinical Trials pp. 1029-1030

Ionut Bebu

Model-Based Geostatistics for Global Public Health: Methods and Applications pp. 1030-1032

Ian Laga and Xiaoyue Niu

Statistical Modelling by Exponential Families pp. 1032-1032

Yen-Chi Chen

Sufficient Dimension Reduction: Methods and Applications With R pp. 1032-1033

Daniel J. McDonald

Theory of Spatial Statistics: A Concise Introduction pp. 1033-1034

Frederic P. Schoenberg

Correction pp. 1035-1036

The Editors

Volume 115, issue 529, 2020

A Hierarchical Model of Nonhomogeneous Poisson Processes for Twitter Retweets pp. 1-15

Clement Lee and Darren J. Wilkinson

A Bayesian Approach to Multistate Hidden Markov Models: Application to Dementia Progression pp. 16-31

Jonathan P. Williams, Curtis B. Storlie, Terry M. Therneau, Clifford R. Jack Jr and Jan Hannig

Prediction and Inference With Missing Data in Patient Alert Systems pp. 32-46

Curtis B. Storlie, Terry M. Therneau, Rickey E. Carter, Nicholas Chia, John R. Bergquist, Jeanne M. Huddleston and Santiago Romero-Brufau

Demand Models With Random Partitions pp. 47-65

Adam N. Smith and Greg M. Allenby

Modeling Bronchiolitis Incidence Proportions in the Presence of Spatio-Temporal Uncertainty pp. 66-78

Matthew J. Heaton, Candace Berrett, Sierra Pugh, Amber Evans and Chantel Sloan

Mapping Tumor-Specific Expression QTLs in Impure Tumor Samples pp. 79-89

DouglasR. Wilson, JosephG. Ibrahim and Wei Sun

Quantile Function on Scalar Regression Analysis for Distributional Data pp. 90-106

Hojin Yang, Veerabhadran Baladandayuthapani, Arvind U.K. Rao and Jeffrey S. Morris

Penalized and Constrained Optimization: An Application to High-Dimensional Website Advertising pp. 107-122

Gareth M. James, Courtney Paulson and Paat Rusmevichientong

Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes pp. 123-137

Victor Chernozhukov, Ivan Fernandez-Val, Blaise Melly and Kaspar Wüthrich

From Fixed-X to Random-X Regression: Bias-Variance Decompositions, Covariance Penalties, and Prediction Error Estimation pp. 138-151

Saharon Rosset and Ryan J. Tibshirani

Discussion of “From Fixed-X to Random-X Regression: Bias-Variance Decompositions, Covariance Penalties, and Prediction Error Estimation” pp. 152-156

Xiaotong Shen and Hsin-Cheng Huang

Cross-Validation, Risk Estimation, and Model Selection: Comment on a Paper by Rosset and Tibshirani pp. 157-160

Stefan Wager

From Fixed-X to Random-X Regression: Bias-Variance Decompositions, Covariance Penalties, and Prediction Error Estimation: Rejoinder pp. 161-162

Saharon Rosset and Ryan J. Tibshirani

Sensitivity Analysis for Unmeasured Confounding in Meta-Analyses pp. 163-172

Maya B. Mathur and Tyler J. VanderWeele

On Degrees of Freedom of Projection Estimators With Applications to Multivariate Nonparametric Regression pp. 173-186

Xi Chen, Qihang Lin and Bodhisattva Sen

Bayesian Repulsive Gaussian Mixture Model pp. 187-203

Fangzheng Xie and Yanxun Xu

Simultaneous Estimation and Variable Selection for Interval-Censored Data With Broken Adaptive Ridge Regression pp. 204-216

Hui Zhao, Qiwei Wu, Gang Li and Jianguo Sun

On High-Dimensional Constrained Maximum Likelihood Inference pp. 217-230

Yunzhang Zhu, Xiaotong Shen and Wei Pan

Estimation of Heterogeneous Individual Treatment Effects With Endogenous Treatments pp. 231-240

Qian Feng, Quang Vuong and Haiqing Xu

Nonparametric Imputation by Data Depth pp. 241-253

Pavlo Mozharovskyi, Julie Josse and François Husson

Adaptive Huber Regression pp. 254-265

Qiang Sun, Wen-Xin Zhou and Jianqing Fan

Quantile Co-Movement in Financial Markets: A Panel Quantile Model With Unobserved Heterogeneity pp. 266-279

Tomohiro Ando and Jushan Bai

From Distance Correlation to Multiscale Graph Correlation pp. 280-291

Cencheng Shen, Carey E. Priebe and Joshua T. Vogelstein

D-CCA: A Decomposition-Based Canonical Correlation Analysis for High-Dimensional Datasets pp. 292-306

Hai Shu, Xiao Wang and Hongtu Zhu

Ball Covariance: A Generic Measure of Dependence in Banach Space pp. 307-317

Wenliang Pan, Xueqin Wang, Heping Zhang, Hongtu Zhu and Jin Zhu

Hierarchical Normalized Completely Random Measures to Cluster Grouped Data pp. 318-333

Raffaele Argiento, Andrea Cremaschi and Marina Vannucci

PUlasso: High-Dimensional Variable Selection With Presence-Only Data pp. 334-347

Hyebin Song and Garvesh Raskutti

A Randomized Exchange Algorithm for Computing Optimal Approximate Designs of Experiments pp. 348-361

Radoslav Harman, Lenka Filová and Peter Richtárik

RANK: Large-Scale Inference With Graphical Nonlinear Knockoffs pp. 362-379

Yingying Fan, Emre Demirkaya, Gaorong Li and Jinchi Lv

Matched Learning for Optimizing Individualized Treatment Strategies Using Electronic Health Records pp. 380-392

Peng Wu, Donglin Zeng and Yuanjia Wang

Cauchy Combination Test: A Powerful Test With Analytic p-Value Calculation Under Arbitrary Dependency Structures pp. 393-402

Yaowu Liu and Jun Xie

L2RM: Low-Rank Linear Regression Models for High-Dimensional Matrix Responses pp. 403-424

Dehan Kong, Baiguo An, Jingwen Zhang and Hongtu Zhu

Estimation of the Boundary of a Variable Observed With Symmetric Error pp. 425-441

Jean-Pierre Florens, Leopold Simar and Ingrid Van Keilegom

Debiased Inference on Treatment Effect in a High-Dimensional Model pp. 442-454

Jingshen Wang, Xuming He and Gongjun Xu

Variational Inference for Stochastic Block Models From Sampled Data pp. 455-466

Timothée Tabouy, Pierre Barbillon and Julien Chiquet

Estimation of Conditional Prevalence From Group Testing Data With Missing Covariates pp. 467-480

Aurore Delaigle, Wei Huang and Shaoke Lei

Simulating Copulas: Stochastic Models, Sampling Algorithms, and Applications pp. 481-482

Thibault Vatter

The Book of Why: The New Science of Cause and Effect pp. 482-485

Peter M. Aronow and Fredrik Sävje

Measuring Agreement: Models, Methods, and Applications pp. 485-486

Noor Azina Ismail

Theory of Stochastic Objects: Probability, Stochastic Processes and Inference pp. 486-487

Anita D. Behme

Multivariate Kernel Smoothing and Its Applications pp. 486-486

Qing Wang

Big Data in Omics and Imaging: Integrated Analysis and Causal Inference pp. 487-488

Oliver Y. Chén

RETRACTED ARTICLE: Smoothing with Couplings of Conditional Particle Filters pp. 489-489

The Editors