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Journal of the American Statistical Association

2012 - 2020

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 116, issue 533, 2020

Toward Optimal Fingerprinting in Detection and Attribution of Changes in Climate Extremes pp. 1-13 Downloads
Zhuo Wang, Yujing Jiang, Hui Wan, Jun Yan and Xuebin Zhang
Integrating Multidimensional Data for Clustering Analysis With Applications to Cancer Patient Data pp. 14-26 Downloads
Seyoung Park, Hao Xu and Hongyu Zhao
Hierarchical Probabilistic Forecasting of Electricity Demand With Smart Meter Data pp. 27-43 Downloads
Souhaib Ben Taieb, James W. Taylor and Rob J. Hyndman
Triplet Matching for Estimating Causal Effects With Three Treatment Arms: A Comparative Study of Mortality by Trauma Center Level pp. 44-53 Downloads
Giovanni Nattino, Bo Lu, Junxin Shi, Stanley Lemeshow and Henry Xiang
Covariance-Based Sample Selection for Heterogeneous Data: Applications to Gene Expression and Autism Risk Gene Detection pp. 54-67 Downloads
Kevin Z. Lin, Han Liu and Kathryn Roeder
Intentional Control of Type I Error Over Unconscious Data Distortion: A Neyman–Pearson Approach to Text Classification pp. 68-81 Downloads
Lucy Xia, Richard Zhao, Yanhui Wu and Xin Tong
Reinforced Designs: Multiple Instruments Plus Control Groups as Evidence Factors in an Observational Study of the Effectiveness of Catholic Schools pp. 82-92 Downloads
Bikram Karmakar, Dylan S. Small and Paul R. Rosenbaum
A Hierarchical Max-Infinitely Divisible Spatial Model for Extreme Precipitation pp. 93-106 Downloads
Gregory P. Bopp, Benjamin A. Shaby and Raphaël Huser
Incorporating Animal Movement Into Distance Sampling pp. 107-115 Downloads
R. Glennie, S. T. Buckland, R. Langrock, T. Gerrodette, L. T. Ballance, S. J. Chivers and M. D. Scott
Modeling and Regionalization of China’s PM2.5 Using Spatial-Functional Mixture Models pp. 116-132 Downloads
Decai Liang, Haozhe Zhang, Xiaohui Chang and Hui Huang
A Penalized Regression Framework for Building Polygenic Risk Models Based on Summary Statistics From Genome-Wide Association Studies and Incorporating External Information pp. 133-143 Downloads
Ting-Huei Chen, Nilanjan Chatterjee, Maria Teresa Landi and Jianxin Shi
Brain Regions Identified as Being Associated With Verbal Reasoning Through the Use of Imaging Regression via Internal Variation pp. 144-158 Downloads
Long Feng, Xuan Bi and Heping Zhang
Introduction to the Theory and Methods Special Issue on Precision Medicine and Individualized Policy Discovery pp. 159-161 Downloads
Michael R. Kosorok, Eric B. Laber, Dylan S. Small and Donglin Zeng
A Semiparametric Instrumental Variable Approach to Optimal Treatment Regimes Under Endogeneity pp. 162-173 Downloads
Yifan Cui and Eric Tchetgen Tchetgen
Optimal Individualized Decision Rules Using Instrumental Variable Methods pp. 174-191 Downloads
Hongxiang Qiu, Marco Carone, Ekaterina Sadikova, Maria Petukhova, Ronald C. Kessler and Alex Luedtke
Comment: Individualized Treatment Rules Under Endogeneity pp. 192-195 Downloads
Sukjin Han
Discussion of Cui and Tchetgen Tchetgen (2020) and Qiu et al. (2020) pp. 196-199 Downloads
Bo Zhang and Hongming Pu
Machine Intelligence for Individualized Decision Making Under a Counterfactual World: A Rejoinder pp. 200-206 Downloads
Yifan Cui and Eric Tchetgen Tchetgen
Rejoinder: Optimal Individualized Decision Rules Using Instrumental Variable Methods pp. 207-209 Downloads
Hongxiang Qiu, Marco Carone, Ekaterina Sadikova, Maria Petukhova, Ronald C. Kessler and Alex Luedtke
A Two-Part Framework for Estimating Individualized Treatment Rules From Semicontinuous Outcomes pp. 210-223 Downloads
Jared D. Huling, Maureen A. Smith and Guanhua Chen
Efficient Estimation of Optimal Regimes Under a No Direct Effect Assumption pp. 224-239 Downloads
Lin Liu, Zach Shahn, James M. Robins and Andrea Rotnitzky
Statistical Inference for Online Decision Making: In a Contextual Bandit Setting pp. 240-255 Downloads
Haoyu Chen, Wenbin Lu and Rui Song
Doubly Robust Estimation of Optimal Dosing Strategies pp. 256-268 Downloads
Juliana Schulz and Erica E. M. Moodie
Learning Individualized Treatment Rules for Multiple-Domain Latent Outcomes pp. 269-282 Downloads
Yuan Chen, Donglin Zeng and Yuanjia Wang
Improved Doubly Robust Estimation in Learning Optimal Individualized Treatment Rules pp. 283-294 Downloads
Yinghao Pan and Ying-Qi Zhao
Selecting and Ranking Individualized Treatment Rules With Unmeasured Confounding pp. 295-308 Downloads
Bo Zhang, Jordan Weiss, Dylan S. Small and Qingyuan Zhao
Estimation of Optimal Individualized Treatment Rules Using a Covariate-Specific Treatment Effect Curve With High-Dimensional Covariates pp. 309-321 Downloads
Wenchuan Guo, Xiao-Hua Zhou and Shujie Ma
BAGS: A Bayesian Adaptive Group Sequential Trial Design With Subgroup-Specific Survival Comparisons pp. 322-334 Downloads
Ruitao Lin, Peter F. Thall and Ying Yuan
Estimation and Validation of Ratio-based Conditional Average Treatment Effects Using Observational Data pp. 335-352 Downloads
Steve Yadlowsky, Fabio Pellegrini, Federica Lionetto, Stefan Braune and Lu Tian
A Multi-resolution Theory for Approximating Infinite-p-Zero-n: Transitional Inference, Individualized Predictions, and a World Without Bias-Variance Tradeoff pp. 353-367 Downloads
Xinran Li and Xiao-Li Meng
Robust Q-Learning pp. 368-381 Downloads
Ashkan Ertefaie, James R. McKay, David Oslin and Robert L. Strawderman
Off-Policy Estimation of Long-Term Average Outcomes With Applications to Mobile Health pp. 382-391 Downloads
Peng Liao, Predrag Klasnja and Susan Murphy
Learning When-to-Treat Policies pp. 392-409 Downloads
Xinkun Nie, Emma Brunskill and Stefan Wager
Personalized Policy Learning Using Longitudinal Mobile Health Data pp. 410-420 Downloads
Xinyu Hu, Min Qian, Bin Cheng and Ying Kuen Cheung
Stochastic Tree Search for Estimating Optimal Dynamic Treatment Regimes pp. 421-432 Downloads
Yilun Sun and Lu Wang
Stochastic Gradient Markov Chain Monte Carlo pp. 433-450 Downloads
Christopher Nemeth and Paul Fearnhead
Handbook of Spatial Epidemiology pp. 451-453 Downloads
The Editors
Handbook of Environmental and Ecological Statistics pp. 453-455 Downloads
Grace S. Chiu

Volume 115, issue 532, 2020

The Statistical Face of a Region Under Monsoon Rainfall in Eastern India pp. 1559-1573 Downloads
Kaushik Jana, Debasis Sengupta, Subrata Kundu, Arindam Chakraborty and Purnima Shaw
Bayesian Scalar on Image Regression With Nonignorable Nonresponse pp. 1574-1597 Downloads
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 Downloads
Bingduo Yang, Wei Long, Liang Peng and Zongwu Cai
Bayesian Double Feature Allocation for Phenotyping With Electronic Health Records pp. 1620-1634 Downloads
Yang Ni, Peter Müller and Yuan Ji
Nonparametric Bayesian Instrumental Variable Analysis: Evaluating Heterogeneous Effects of Coronary Arterial Access Site Strategies pp. 1635-1644 Downloads
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 Downloads
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 Downloads
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 Downloads
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 Downloads
Emma G. Thomas, Lorenzo Trippa, Giovanni Parmigiani and Francesca Dominici
A Tuning-free Robust and Efficient Approach to High-dimensional Regression pp. 1700-1714 Downloads
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 Downloads
Po-Ling Loh
Discussion of “A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression” pp. 1717-1719 Downloads
Xiudi Li and Ali Shojaie
Comment on “A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression” pp. 1720-1725 Downloads
Jianqing Fan, Cong Ma and Kaizheng Wang
Rejoinder to “A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression” pp. 1726-1729 Downloads
Lan Wang, Bo Peng, Jelena Bradic, Runze Li and Yunan Wu
Flexible Sensitivity Analysis for Observational Studies Without Observable Implications pp. 1730-1746 Downloads
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 Downloads
Leying Guan, Xi Chen and Wing Hung Wong
Structured Latent Factor Analysis for Large-scale Data: Identifiability, Estimability, and Their Implications pp. 1756-1770 Downloads
Yunxiao Chen, Xiaoou Li and Siliang Zhang
Corrected Bayesian Information Criterion for Stochastic Block Models pp. 1771-1783 Downloads
Jianwei Hu, Hong Qin, Ting Yan and Yunpeng Zhao
Functional Horseshoe Priors for Subspace Shrinkage pp. 1784-1797 Downloads
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 Downloads
Xiao Nie, Peter Chien, Dane Morgan and Amy Kaczmarowski
Optimal Designs for the Two-Dimensional Interference Model pp. 1812-1821 Downloads
A. S. Hedayat, Heng Xu and Wei Zheng
IPAD: Stable Interpretable Forecasting with Knockoffs Inference pp. 1822-1834 Downloads
Yingying Fan, Jinchi Lv, Mahrad Sharifvaghefi and Yoshimasa Uematsu
Fixed Effects Testing in High-Dimensional Linear Mixed Models pp. 1835-1850 Downloads
Jelena Bradic, Gerda Claeskens and Thomas Gueuning
Robust Inference Using Inverse Probability Weighting pp. 1851-1860 Downloads
Xinwei Ma and Jingshen Wang
Deep Knockoffs pp. 1861-1872 Downloads
Yaniv Romano, Matteo Sesia and Emmanuel Candès
On Optimal Tests for Rotational Symmetry Against New Classes of Hyperspherical Distributions pp. 1873-1887 Downloads
Eduardo García-Portugués, Davy Paindaveine and Thomas Verdebout
Revealing Subgroup Structure in Ranked Data Using a Bayesian WAND pp. 1888-1901 Downloads
S. R. Johnson, D. A. Henderson and R. J. Boys
Fast and Accurate Binary Response Mixed Model Analysis via Expectation Propagation pp. 1902-1916 Downloads
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 Downloads
David Benkeser, Maya Petersen and Mark J. van der Laan
Empirical Frequency Band Analysis of Nonstationary Time Series pp. 1933-1945 Downloads
Scott A. Bruce, Cheng Yong Tang, Martica H. Hall and Robert T. Krafty
Optimal Designs of Two-Phase Studies pp. 1946-1959 Downloads
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 Downloads
Dachuan Chen, Per A. Mykland and Lan Zhang
Cross-Validation With Confidence pp. 1978-1997 Downloads
Jing Lei
Targeted Random Projection for Prediction From High-Dimensional Features pp. 1998-2010 Downloads
Minerva Mukhopadhyay and David B. Dunson
Doubly Robust Inference With Nonprobability Survey Samples pp. 2011-2021 Downloads
Yilin Chen, Pengfei Li and Changbao Wu
Mixed-Effect Time-Varying Network Model and Application in Brain Connectivity Analysis pp. 2022-2036 Downloads
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 Downloads
Jonathan R. Bradley, Scott H. Holan and Christopher K. Wikle
Adaptive Sparse Estimation With Side Information pp. 2053-2067 Downloads
Trambak Banerjee, Gourab Mukherjee and Wenguang Sun
Statistical Inference for Average Treatment Effects Estimated by Synthetic Control Methods pp. 2068-2083 Downloads
Kathleen T. Li
Kernel Meets Sieve: Post-Regularization Confidence Bands for Sparse Additive Model pp. 2084-2099 Downloads
Junwei Lu, Mladen Kolar and Han Liu
Handbook of Approximate Bayesian Computation pp. 2100-2101 Downloads
Jordan J. Franks
Handbook of Mixture Analysis pp. 2101-2102 Downloads
Yen-Chi Chen
The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach pp. 2102-2104 Downloads
Richard J. Cook
Editorial Collaborators pp. 2105-2113 Downloads
The Editors

Volume 115, issue 531, 2020

Local Likelihood Estimation of Complex Tail Dependence Structures, Applied to U.S. Precipitation Extremes pp. 1037-1054 Downloads
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 Downloads
Douglas R. Wilson, Chong Jin, Joseph G. Ibrahim and Wei Sun
Bayesian Nonparametric Policy Search With Application to Periodontal Recall Intervals pp. 1066-1078 Downloads
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 Downloads
Ryan Sun and Xihong Lin
Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting pp. 1092-1110 Downloads
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 Downloads
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 Downloads
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 Downloads
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 Downloads
Amanda F. Mejia, Mary Beth Nebel, Yikai Wang, Brian S. Caffo and Ying Guo
Panel Data Analysis via Mechanistic Models pp. 1178-1188 Downloads
Carles Bretó, Edward L. Ionides and Aaron A. King
Distance-Based Analysis of Ordinal Data and Ordinal Time Series pp. 1189-1200 Downloads
Christian H. Weiß
A Sparse Random Projection-Based Test for Overall Qualitative Treatment Effects pp. 1201-1213 Downloads
Chengchun Shi, Wenbin Lu and Rui Song
Testing for Jump Spillovers Without Testing for Jumps pp. 1214-1226 Downloads
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 Downloads
Shan Luo and Zehua Chen
GAP: A General Framework for Information Pooling in Two-Sample Sparse Inference pp. 1236-1250 Downloads
Yin Xia, T. Tony Cai and Wenguang Sun
iFusion: Individualized Fusion Learning pp. 1251-1267 Downloads
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 Downloads
Yassir Rabhi and Taoufik Bouezmarni
Simultaneous Covariance Inference for Multimodal Integrative Analysis pp. 1279-1291 Downloads
Yin Xia, Lexin Li, Samuel N. Lockhart and William J. Jagust
Main Effects and Interactions in Mixed and Incomplete Data Frames pp. 1292-1303 Downloads
Geneviève Robin, Olga Klopp, Julie Josse, Éric Moulines and Robert Tibshirani
Likelihood Ratio Tests for a Large Directed Acyclic Graph pp. 1304-1319 Downloads
Chunlin Li, Xiaotong Shen and Wei Pan
Bayesian Model Search for Nonstationary Periodic Time Series pp. 1320-1335 Downloads
Beniamino Hadj-Amar, Bärbel Finkenstädt Rand, Mark Fiecas, Francis Lévi and Robert Huckstepp
Tests for Scale Changes Based on Pairwise Differences pp. 1336-1348 Downloads
Carina Gerstenberger, Daniel Vogel and Martin Wendler
Comparing and Weighting Imperfect Models Using D-Probabilities pp. 1349-1360 Downloads
Meng Li and David B. Dunson
A Likelihood Ratio Approach to Sequential Change Point Detection for a General Class of Parameters pp. 1361-1377 Downloads
Holger Dette and Josua Gösmann
Distribution on Warp Maps for Alignment of Open and Closed Curves pp. 1378-1392 Downloads
Karthik Bharath and Sebastian Kurtek
Model-Free Forward Screening Via Cumulative Divergence pp. 1393-1405 Downloads
Tingyou Zhou, Liping Zhu, Chen Xu and Runze Li
Optimal Sparse Linear Prediction for Block-missing Multi-modality Data Without Imputation pp. 1406-1419 Downloads
Guan Yu, Quefeng Li, Dinggang Shen and Yufeng Liu
Statistical Analysis of Functions on Surfaces, With an Application to Medical Imaging pp. 1420-1434 Downloads
Eardi Lila and John A. D. Aston
Principal Boundary on Riemannian Manifolds pp. 1435-1448 Downloads
Zhigang Yao and Zhenyue Zhang
Simple Local Polynomial Density Estimators pp. 1449-1455 Downloads
Matias Cattaneo, Michael Jansson and Xinwei Ma
Nonparametric Estimation of Multivariate Mixtures pp. 1456-1471 Downloads
Chaowen Zheng and Yichao Wu
Efficiently Inferring the Demographic History of Many Populations With Allele Count Data pp. 1472-1487 Downloads
Jack Kamm, Jonathan Terhorst, Richard Durbin and Yun S. Song
Statistical Inference for Covariate-Adaptive Randomization Procedures pp. 1488-1497 Downloads
Wei Ma, Yichen Qin, Yang Li and Feifang Hu
Bayesian Inference for Sequential Treatments Under Latent Sequential Ignorability pp. 1498-1517 Downloads
Federico Ricciardi, Alessandra Mattei and Fabrizia Mealli
Studentized Sensitivity Analysis for the Sample Average Treatment Effect in Paired Observational Studies pp. 1518-1530 Downloads
Colin B. Fogarty
Estimating Optimal Dynamic Treatment Regimes With Survival Outcomes pp. 1531-1539 Downloads
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 Downloads
Shu Yang and Peng Ding
Handbook of Graphical Models pp. 1555-1557 Downloads
Genevera I. Allen
Statistical Computing With R pp. 1557-1558 Downloads
Ling Leng
Time Series Clustering and Classification pp. 1558-1558 Downloads
Ming Chen

Volume 115, issue 529, 2020

A Hierarchical Model of Nonhomogeneous Poisson Processes for Twitter Retweets pp. 1-15 Downloads
Clement Lee and Darren J. Wilkinson
A Bayesian Approach to Multistate Hidden Markov Models: Application to Dementia Progression pp. 16-31 Downloads
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 Downloads
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 Downloads
Adam N. Smith and Greg M. Allenby
Modeling Bronchiolitis Incidence Proportions in the Presence of Spatio-Temporal Uncertainty pp. 66-78 Downloads
Matthew J. Heaton, Candace Berrett, Sierra Pugh, Amber Evans and Chantel Sloan
Mapping Tumor-Specific Expression QTLs in Impure Tumor Samples pp. 79-89 Downloads
DouglasR. Wilson, JosephG. Ibrahim and Wei Sun
Quantile Function on Scalar Regression Analysis for Distributional Data pp. 90-106 Downloads
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 Downloads
Gareth M. James, Courtney Paulson and Paat Rusmevichientong
Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes pp. 123-137 Downloads
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 Downloads
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 Downloads
Xiaotong Shen and Hsin-Cheng Huang
Cross-Validation, Risk Estimation, and Model Selection: Comment on a Paper by Rosset and Tibshirani pp. 157-160 Downloads
Stefan Wager
From Fixed-X to Random-X Regression: Bias-Variance Decompositions, Covariance Penalties, and Prediction Error Estimation: Rejoinder pp. 161-162 Downloads
Saharon Rosset and Ryan J. Tibshirani
Sensitivity Analysis for Unmeasured Confounding in Meta-Analyses pp. 163-172 Downloads
Maya B. Mathur and Tyler J. VanderWeele
On Degrees of Freedom of Projection Estimators With Applications to Multivariate Nonparametric Regression pp. 173-186 Downloads
Xi Chen, Qihang Lin and Bodhisattva Sen
Bayesian Repulsive Gaussian Mixture Model pp. 187-203 Downloads
Fangzheng Xie and Yanxun Xu
Simultaneous Estimation and Variable Selection for Interval-Censored Data With Broken Adaptive Ridge Regression pp. 204-216 Downloads
Hui Zhao, Qiwei Wu, Gang Li and Jianguo Sun
On High-Dimensional Constrained Maximum Likelihood Inference pp. 217-230 Downloads
Yunzhang Zhu, Xiaotong Shen and Wei Pan
Estimation of Heterogeneous Individual Treatment Effects With Endogenous Treatments pp. 231-240 Downloads
Qian Feng, Quang Vuong and Haiqing Xu
Nonparametric Imputation by Data Depth pp. 241-253 Downloads
Pavlo Mozharovskyi, Julie Josse and François Husson
Adaptive Huber Regression pp. 254-265 Downloads
Qiang Sun, Wen-Xin Zhou and Jianqing Fan
Quantile Co-Movement in Financial Markets: A Panel Quantile Model With Unobserved Heterogeneity pp. 266-279 Downloads
Tomohiro Ando and Jushan Bai
From Distance Correlation to Multiscale Graph Correlation pp. 280-291 Downloads
Cencheng Shen, Carey E. Priebe and Joshua T. Vogelstein
D-CCA: A Decomposition-Based Canonical Correlation Analysis for High-Dimensional Datasets pp. 292-306 Downloads
Hai Shu, Xiao Wang and Hongtu Zhu
Ball Covariance: A Generic Measure of Dependence in Banach Space pp. 307-317 Downloads
Wenliang Pan, Xueqin Wang, Heping Zhang, Hongtu Zhu and Jin Zhu
Hierarchical Normalized Completely Random Measures to Cluster Grouped Data pp. 318-333 Downloads
Raffaele Argiento, Andrea Cremaschi and Marina Vannucci
PUlasso: High-Dimensional Variable Selection With Presence-Only Data pp. 334-347 Downloads
Hyebin Song and Garvesh Raskutti
A Randomized Exchange Algorithm for Computing Optimal Approximate Designs of Experiments pp. 348-361 Downloads
Radoslav Harman, Lenka Filová and Peter Richtárik
RANK: Large-Scale Inference With Graphical Nonlinear Knockoffs pp. 362-379 Downloads
Yingying Fan, Emre Demirkaya, Gaorong Li and Jinchi Lv
Matched Learning for Optimizing Individualized Treatment Strategies Using Electronic Health Records pp. 380-392 Downloads
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 Downloads
Yaowu Liu and Jun Xie
L2RM: Low-Rank Linear Regression Models for High-Dimensional Matrix Responses pp. 403-424 Downloads
Dehan Kong, Baiguo An, Jingwen Zhang and Hongtu Zhu
Estimation of the Boundary of a Variable Observed With Symmetric Error pp. 425-441 Downloads
Jean-Pierre Florens, Leopold Simar and Ingrid Van Keilegom
Debiased Inference on Treatment Effect in a High-Dimensional Model pp. 442-454 Downloads
Jingshen Wang, Xuming He and Gongjun Xu
Variational Inference for Stochastic Block Models From Sampled Data pp. 455-466 Downloads
Timothée Tabouy, Pierre Barbillon and Julien Chiquet
Estimation of Conditional Prevalence From Group Testing Data With Missing Covariates pp. 467-480 Downloads
Aurore Delaigle, Wei Huang and Shaoke Lei
Simulating Copulas: Stochastic Models, Sampling Algorithms, and Applications pp. 481-482 Downloads
Thibault Vatter
The Book of Why: The New Science of Cause and Effect pp. 482-485 Downloads
Peter M. Aronow and Fredrik Sävje
Measuring Agreement: Models, Methods, and Applications pp. 485-486 Downloads
Noor Azina Ismail
Multivariate Kernel Smoothing and Its Applications pp. 486-486 Downloads
Qing Wang
Theory of Stochastic Objects: Probability, Stochastic Processes and Inference pp. 486-487 Downloads
Anita D. Behme
Big Data in Omics and Imaging: Integrated Analysis and Causal Inference pp. 487-488 Downloads
Oliver Y. Chén
RETRACTED ARTICLE: Smoothing with Couplings of Conditional Particle Filters pp. 489-489 Downloads
The Editors
Page updated 2021-05-10