Journal of the American Statistical Association

2008 - 2026

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 121, issue 554, 2026

The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review pp. 839-850

Buxin Su, Jiayao Zhang, Natalie Collina, Yuling Yan, Didong Li, Kyunghyun Cho, Jianqing Fan, Aaron Roth and Weijie Su

A Discussion on “The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review” pp. 851-852

Dinghuai Zhang and Yoshua Bengio

Discussion of “The ICML 2023 Ranking Experiment” by Su et al pp. 853-854

Andreas Haupt and Sanmi Koyejo

Comments: Can Statistics and AI Technologies Help Our Troubled Review System? pp. 855-861

Xiao-Li Meng

From Authors to Reviewers: Leveraging Rankings to Improve Peer Review pp. 862-865

Weichen Wang and Chengchun Shi

Discussion of “The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review” pp. 866-866

Ying Wang and Mengye Ren

Discussion of “The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review” pp. 867-870

Linjun Zhang and Lexin Li

Rejoinder: The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review pp. 871-876

Buxin Su, Jiayao Zhang, Natalie Collina, Yuling Yan, Didong Li, Kyunghyun Cho, Jianqing Fan, Aaron Roth and Weijie Su

The Impact of Job Stability on Monetary Poverty in Italy: Causal Small Area Estimation pp. 877-890

Katarzyna Reluga, Dehan Kong, Setareh Ranjbar, Nicola Salvati and Mark van der Laan

Emerging Knowledge Trend in Statistical Research: A Content-Based Analysis Using Covariate-Assisted Dynamic Topic Model pp. 891-904

Chenxuan He, Feifei Wang and Liping Zhu

SurvSTAAR: A Powerful Statistical Framework for Rare Variant Analysis of Time-to-Event Traits in Large-Scale Whole-Genome Sequencing Studies pp. 905-916

Yidan Cui, Shiyang Ma, Yuxin Yuan, Nengjie Zhu, Haifeng Chen, Ting Wei, Zilin Li, Xihao Li and Zhangsheng Yu

Subtype-Aware Registration of Longitudinal Electronic Health Records pp. 917-928

Xin Gai, Shiyi Jiang and Anru R. Zhang

Analyzing Cross-Trait Genetic Architecture with the BIGA Cloud Computing Platform pp. 929-937

Yujue Li, Fei Xue, Bingxuan Li, Yilin Yang, Zirui Fan, Juan Shu, Xiaochen Yang, Xiyao Wang, Jinjie Lin, Carlos Copana and Bingxin Zhao

Heterogeneous Gene Network Estimation for Single-Cell Transcriptomic Data via a Joint Regularized Deep Neural Network pp. 938-949

Jingyuan Yang, Tao Li, Tianyi Wang, Shuangge Ma and Mengyun Wu

Bayesian Phase 1–2 Designs with Adaptive Rules for Staggering Patient Entry pp. 950-962

Shuqi Wang, Peter F. Thall, Ying Yuan and Suyu Liu

Factorial Difference-in-Differences pp. 963-975

Yiqing Xu, Anqi Zhao and Peng Ding

An AI-powered Bayesian Generative Modeling Approach for Causal Inference in Observational Studies pp. 976-987

Qiao Liu and Wing Hung Wong

Mini-batch Estimation for Deep Cox Models: Statistical Foundations and Practical Guidance pp. 988-999

Lang Zeng, Weijing Tang, Zhao Ren and Ying Ding

Learning When the Concept Shifts: Confounding, Invariance, and Dimension Reduction pp. 1000-1012

Kulunu Dharmakeerthi, YoonHaeng Hur and Tengyuan Liang

Efficient Human-in-the-Loop Active Learning: A Novel Framework for Data Labeling in AI Systems pp. 1013-1024

Yiran Huang, Jian-Feng Yang and Haoda Fu

Distributional Off-Policy Evaluation with Deep Quantile Process Regression pp. 1025-1036

Qi Kuang, Chao Wang, Yuling Jiao and Fan Zhou

Low-Rank Contextual Reinforcement Learning from Heterogeneous Human Feedback pp. 1037-1050

Seong Jin Lee, Will Wei Sun and Yufeng Liu

Deep P-Spline: Theory, Fast Tuning, and Application pp. 1051-1063

Noah Yi-Ting Hung, Li-Hsiang Lin and Vince D. Calhoun

Winner’s Curse Free Robust Mendelian Randomization with Summary Data pp. 1064-1076

Zhongming Xie, Wanheng Zhang, Jingshen Wang and Chong Wu

Risk-Sensitive Deep RL: Variance-Constrained Actor-Critic Provably Finds Globally Optimal Policy pp. 1077-1089

Han Zhong, Xun Deng, Ethan X. Fang, Zhuoran Yang, Zhaoran Wang and Runze Li

Efficient Distributed Learning over Decentralized Networks with Convoluted Support Vector Machine pp. 1090-1102

Canyi Chen, Nan Qiao and Liping Zhu

Conjugate Gradient Methods for High-Dimensional GLMMs pp. 1103-1115

Andrea Pandolfi, Omiros Papaspiliopoulos and Giacomo Zanella

Differentially Private Sliced Inverse Regression: Minimax Optimality and Algorithm pp. 1116-1127

Xintao Xia, Linjun Zhang and Zhanrui Cai

Conditional Data Synthesis Augmentation pp. 1128-1140

Xinyu Tian and Xiaotong Shen

Reconstruct Ising Model With Global Optimality via SLIDE pp. 1141-1153

Xuanyu Chen, Jin Zhu, Junxian Zhu, Xueqin Wang and Heping Zhang

Transfer Learning Under Large-Scale Low-Rank Regression Models pp. 1154-1166

Seyoung Park, Eun Ryung Lee, Hyunjin Kim and Hongyu Zhao

Covariate-Elaborated Robust Partial Information Transfer with Conditional Spike-and-Slab Prior pp. 1167-1179

Ruqian Zhang, Yijiao Zhang, Juan Shen, Zhongyi Zhu and Annie Qu

Factor-Adjusted Model Averaging pp. 1180-1191

Wenhui Li and Xinyu Zhang

Factor Augmented Matrix Regression pp. 1192-1205

Elynn Chen, Jianqing Fan and Xiaonan Zhu

A Unified Framework for Estimation of High-Dimensional Conditional Factor Models pp. 1206-1218

Qihui Chen

Frequency-Band Estimation of the Number of Factors pp. 1219-1231

Marco Avarucci, Maddalena Cavicchioli, Mario Forni and Paolo Zaffaroni

High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections pp. 1232-1243

Jiaxin Shi, Xuening Zhu, Jing Zhou, Baichen Yu and Hansheng Wang

Belted and Ensembled Neural Network for Linear and Nonlinear Sufficient Dimension Reduction pp. 1244-1255

Yin Tang and Bing Li

Chain-Linked Multiple Matrix Integration via Embedding Alignment pp. 1256-1268

Runbing Zheng and Minh Tang

Network Regression and Supervised Centrality Estimation pp. 1269-1283

Junhui Cai, Dan Yang, Ran Chen, Haipeng Shen, Linda Zhao and Wu Zhu

When Does Bottom-Up Beat Top-Down in Hierarchical Community Detection? pp. 1284-1295

Maximilien Dreveton, Daichi Kuroda, Matthias Grossglauser and Patrick Thiran

Multivariate Analysis for Multiple Network Data via Semi-Symmetric Tensor PCA pp. 1296-1309

Michael Weylandt and George Michailidis

Conditional Probability Tensor Decompositions for Multivariate Categorical Response Regression pp. 1310-1323

Aaron J. Molstad and Xin Zhang

Policy Learning with Distributional Welfare pp. 1324-1335

Yifan Cui and Sukjin Han

Dynamic Decision Making With Individualized Variable Selection pp. 1336-1348

Bryan Cai, Ying Cui, Haoda Fu, Donald M. Lloyd-Jones, Lihui Zhao and Tian Lu

A Regression Framework for Studying Relationships among Attributes under Network Interference pp. 1349-1360

Cornelius Fritz, Michael Schweinberger, Subhankar Bhadra and David R. Hunter

Cluster-Randomized Trials with Cross-Cluster Interference pp. 1361-1371

Michael P. Leung

Identification and Multiply Robust Estimation of Causal Effects via Instrumental Variables from An Auxiliary Population pp. 1372-1383

Wei Li, Jiapeng Liu, Peng Ding and Zhi Geng

Blessing from Human-AI Interaction: Super Policy Learning in Confounded Environments pp. 1384-1397

Jiayi Wang, Chengchun Shi and Zhengling Qi

Adversarial Estimation of Riesz Representers pp. 1398-1409

Victor Chernozhukov, Whitney K. Newey, Rahul Singh and Vasilis Syrgkanis

Nonparametric Density Estimation of a Long-Term Trend from Repeated Semicontinuous Data pp. 1410-1423

Félix Camirand Lemyre, Raymond J. Carroll and Aurore Delaigle

Functional Partial Least-Squares: Adaptive Estimation and Inference pp. 1424-1434

Andrii Babii, Marine Carrasco and Idriss Tsafack

SPARCC: Semi-Parametric Robust Estimation in a Right-Censored Covariate Model pp. 1435-1446

Seong-ho Lee, Brian D. Richardson, Yanyuan Ma, Karen S. Marder and Tanya P. Garcia

Localizing Strictly Proper Scoring Rules pp. 1447-1459

Ramon F. A. de Punder, Cees G. H. Diks, Roger Laeven and Dick J. C. van Dijk

On a Class of Sobolev Tests for Symmetry, their Detection Thresholds, and Asymptotic Powers pp. 1460-1472

Eduardo García-Portugués, Davy Paindaveine and Thomas Verdebout

Enhanced Power Enhancements for Testing Many Moment Equalities: Beyond the 2- and ∞-norm pp. 1473-1485

Anders Bredahl Kock and David Preinerstorfer

Scan Statistics for the Detection of Anomalies in M-Dependent Random Fields with Applications to Image Data pp. 1486-1498

Claudia Kirch, Philipp Klein and Marco Meyer

Efficiency of QMLE for Dynamic Panel Data Models with Interactive Effects pp. 1499-1510

Jushan Bai

A New Approach for Homogeneity Pursuit in Short Panel Data Analysis pp. 1511-1521

Yang Han, Weichi Wu and Wenyang Zhang

Simultaneous Inference for Monotone and Smoothly Time-Varying Functions Under Complex Temporal Dynamics pp. 1522-1535

Tianpai Luo and Weichi Wu

Bayesian Nonparametric Spectral Analysis of Locally Stationary Processes pp. 1536-1548

Yifu Tang, Claudia Kirch, Jeong Eun Lee and Renate Meyer

Bayesian Geostatistics Using Predictive Stacking pp. 1549-1561

Lu Zhang, Wenpin Tang and Sudipto Banerjee

Optimal Plug-in Gaussian Processes for Modeling Derivatives pp. 1562-1573

Zejian Liu and Meng Li

Bayesian Image Analysis in Fourier Space pp. 1574-1587

John Kornak, Karl Young, Eric Friedman and Konstantinos Bakas

Posterior Risk of Modular and Semi-Modular Bayesian Inference pp. 1588-1600

David T. Frazier and David J. Nott

Spatiotemporal Besov Priors for Bayesian Inverse Problems pp. 1601-1615

Shiwei Lan, Mirjeta Pasha, Shuyi Li and Weining Shen

Construction of Asymmetric Nested Orthogonal Arrays pp. 1616-1625

Shanqi Pang, Xiao Lin, Mingyao Ai and Peter Chien

Universally Optimal Designs for Symmetric Models in Order-of-Addition Experiments pp. 1626-1636

Ze Liu, Yongdao Zhou and Min-Qian Liu

Optimal Run Order for Order-of-Addition Experiments pp. 1637-1646

Chunyan Wang, Jiayu Peng and Dennis K. J. Lin

Developing A Practical Measure: An Asymmetric Mean Squared Prediction Error for Small Area Estimation pp. 1647-1660

Haiqiang Ma, Thuan Nguyen and Jiming Jiang

Impact of Existence and Nonexistence of Pivot on the Coverage of Empirical Best Linear Prediction Intervals for Small Areas pp. 1661-1670

Yuting Chen, Masayo Y. Hirose and Partha Lahiri

Bias Control for M-Quantile-Based Small Area Estimators pp. 1671-1682

Francesco Schirripa Spagnolo, Nicola Salvati, Gaia Bertarelli, David Haziza and Ray Chambers

Random Pairing MLE for Estimation of Item Parameters in Rasch Model pp. 1683-1694

Yuepeng Yang and Cong Ma

Consistent Least Squares Estimation in Population-Size-Dependent Branching Processes pp. 1695-1707

Peter Braunsteins, Sophie Hautphenne and Carmen Minuesa

A Statistician’s Overview of Physics-Informed Neural Networks for Spatio-Temporal Data pp. 1708-1724

Christopher K. Wikle, Joshua North, Giri Gopalan and Myungsoo Yoo

Bayesian Precision Medicine pp. 1725-1726

Yang Ni

Introduction to Quantitative Social Science with Python pp. 1727-1728

Salil Koner

Seminal Ideas and Controversies in Statistics pp. 1729-1733

Jonathan P. Williams

Change Point Analysis: Theory and Application (by Baisuo Jin and Jialiang Li) pp. 1734-1734

Abhishek Kaul

Correction for: Generalized factor model for ultra-high dimensional correlated variables with mixed types pp. 1735-1735

The Editors

Volume 121, issue 553, 2026

LAMBDA: A Large Model Based Data Agent pp. 1-13

Maojun Sun, Ruijian Han, Binyan Jiang, Houduo Qi, Defeng Sun, Yancheng Yuan and Jian Huang

Discussion of “LAMBDA: A Large Model Based Data Agent” pp. 14-16

David Donoho

Discussion of LAMBDA: A Large Model Based Data Agent pp. 17-18

Xihong Lin

Comments: Systems Thinking, Data Minding, and Mindware Agents for Multi-Agent Data Analysis Systems pp. 19-25

Xiao-Li Meng

Discussion of “LAMBDA: Large Model Based Data Agent” pp. 26-28

Xuewei Wang and Rui (Sammi) Tang

Discussion of “LAMBDA: Large Model Based Data Agent” pp. 29-33

Bang Liu, Run Yang and Fan Zhou

AI Agents for Data Science: A Discussion of “LAMBDA: A Large Model Based Data Agent” pp. 34-35

James Zou and Mert Yuksekgonul

Rejoinder to the Discussions on “LAMBDA: A Large Model Based Data Agent” pp. 36-43

Maojun Sun, Ruijian Han, Binyan Jiang, Houduo Qi, Defeng Sun, Yancheng Yuan and Jian Huang

Additive Multi-Index Gaussian Process Modeling, with Application to Multi-Physics Surrogate Modeling of the Quark-Gluon Plasma pp. 44-59

Kevin Li, Simon Mak, J.-F. Paquet and Steffen A. Bass

Using Total Margin of Error to Account for Non-Sampling Error in Election Polls pp. 60-71

Jeff Dominitz and Charles Manski

Understanding Inequalities in Cancer Survival Using Bayesian Machine Learning pp. 72-84

Piyali Basak, Camille Maringe, F. Javier Rubio and Antonio R. Linero

SMART-MC: Characterizing the Dynamics of Multiple Sclerosis Therapy Transitions Using a Covariate-Based Markov Model pp. 85-99

Beomchang Kim, Zongqi Xia and Priyam Das

Bayesian Signal Matching for Transfer Learning in ERP-Based Brain Computer Interface pp. 100-112

Tianwen Ma, Jane E. Huggins and Jian Kang

Spatial Variation on Multiple Scales in Line Transect Data; the Case of Antarctic Fin Whales pp. 113-125

Olav Nikolai Breivik, Hans J. Skaug, Martin Jullum and Martin Biuw

Elastic Shape Analysis of Movement Data pp. 126-136

J. E. Borgert, Jan Hannig, J. Derek Tucker, Liubov Arbeeva, Ashley N. Buck, Yvonne M. Golightly, Stephen P. Messier, Amanda E. Nelson and J. S. Marron

Online Auction Design Using Distribution-Free Uncertainty Quantification with Applications to E-Commerce pp. 137-148

Jiale Han and Xiaowu Dai

A Factor-Copula Latent-Vine Time Series Model for Extreme Flood Insurance Losses pp. 149-162

Xiaoting Li, Harry Joe and Christian Genest

Efficient Optimization of Plasma Radiation Detector Configurations using Imperfect Inference Models pp. 163-171

Difan Song, William E. Lewis, Patrick F. Knapp, C. F. Jeff Wu and V. Roshan Joseph

PALAR: Estimation of Absolute Abundance Effects in Regression with Relative Abundance Predictors pp. 172-180

Yiluan Li, Qiyu Wang, Zekang Feng, Xueqin Wang and Zheng-Zheng Tang

The Effect of Alcohol Intake on Brain White Matter Microstructural Integrity: A New Causal Inference Framework for Incomplete Phenomic Data pp. 181-193

Chixiang Chen, Shuo Chen, Zhenyao Ye, Xu Shi, Tianzhou Ma and Michelle Shardell

Deep Discrete Encoders: Identifiable Deep Generative Models for Rich Data with Discrete Latent Layers pp. 194-208

Seunghyun Lee and Yuqi Gu

Reinforcement Learning with Continuous Actions Under Unmeasured Confounding pp. 209-222

Yuhan Li, Eugene Han, Yifan Hu, Wenzhuo Zhou, Zhengling Qi, Yifan Cui and Ruoqing Zhu

Deep Clustering Evaluation: How to Validate Internal Clustering Validation Measures pp. 223-236

Zeya Wang and Chenglong Ye

Variable Significance Testing for the Deep Cox Model pp. 237-246

Qixian Zhong, Jonas Mueller and Jane-Ling Wang

Towards Better Statistical Understanding of Watermarking LLMs pp. 247-258

Zhongze Cai, Shang Liu, Hanzhao Wang, Huaiyang Zhong and Xiaocheng Li

Toward Interpretable Deep Generative Models via Causal Representation Learning pp. 259-275

Gemma Moran and Bryon Aragam

Data-Driven Knowledge Transfer in Batch Q* Learning pp. 276-288

Elynn Chen, Xi Chen and Wenbo Jing

Data-Driven Tuning Parameter Selection for High-Dimensional Vector Autoregressions pp. 289-299

Anders Kock, Rasmus S. Pedersen and Jesper R.-V. Sørensen

Incorporating Auxiliary Variables to Improve the Efficiency of Time-Varying Treatment Effect Estimation pp. 300-311

Jieru Shi, Zhenke Wu and Walter Dempsey

Design-Based Causal Inference with Missing Outcomes: Missingness Mechanisms, Imputation-Assisted Randomization Tests, and Covariate Adjustment pp. 312-325

Siyu Heng, Jiawei Zhang and Yang Feng

Mutually Exciting Point Processes with Latency pp. 326-337

Yoann Potiron and Vladimir Volkov

A Practical Interval Estimation Method for Spectral Density Function pp. 338-350

Haihan Yu, Mark S. Kaiser and Daniel J. Nordman

Testing Elliptical Models in High Dimensions pp. 351-359

Siyao Wang and Miles E. Lopes

Adaptive Selection for False Discovery Rate Control Leveraging Symmetry pp. 360-372

Kehan Wang, Yuexin Chen, Yixin Han, Wangli Xu and Linglong Kong

Higher-Order Accurate Two-Sample Network Inference and Network Hashing pp. 373-388

Meijia Shao, Dong Xia, Yuan Zhang, Qiong Wu and Shuo Chen

Checking the Cox Proportional Hazards Model with Interval-Censored Data pp. 389-399

Yangjianchen Xu, Donglin Zeng and D. Y. Lin

On a Notion of Graph Centrality Based on L1 Data Depth pp. 400-412

Seungwoo Kang and Hee-Seok Oh

High-Dimensional Covariance Regression with Application to Co-Expression QTL Detection pp. 413-426

Rakheon Kim and Jingfei Zhang

Kernel Density Estimation with Polyspherical Data and its Applications pp. 427-439

Eduardo García-Portugués and Andrea Meilán-Vila

Testing and Support Recovery in Population-Based Image Data pp. 440-453

Lianqiang Qu, Jian Huang, Liuquan Sun and Hongtu Zhu

Integrated Path Stability Selection pp. 454-464

Omar Melikechi and Jeffrey W. Miller

Statistical Quantile Learning for Large Additive Latent Variable Models pp. 465-476

Julien Bodelet, Guillaume Blanc, Jiajun Shan, Graciela Muniz Terrera and Oliver Y. Chén

Design-Based Uncertainty for Quasi-Experiments pp. 477-491

Ashesh Rambachan and Jonathan Roth

Long-Term Effect Estimation When Combining Clinical Trial and Observational Follow-Up Datasets pp. 492-501

Gang Cheng, Yen-Chi Chen, Joseph M. Unger, Cathee Till and Ying-Qi Zhao

Design and Analysis of Randomized Trials to Estimate Spatio-Temporally Heterogeneous Treatment Effects pp. 502-512

Samuel I. Watson and Thomas A. Smith

SOFARI: High-Dimensional Manifold-Based Inference pp. 513-524

Zemin Zheng, Xin Zhou, Yingying Fan and Jinchi Lv

Fast Approximation of Shapley Values Through Fractional Factorial Designs pp. 525-535

Zheng Zhou, Robert Mee, Herbert Hamers and Wei Zheng

A Goodness-of-Fit Assessment for General Learning Procedures in High Dimensions pp. 536-547

Chenxuan He, Canyi Chen and Liping Zhu

Estimation of Out-of-Sample Sharpe Ratio for High Dimensional Portfolio Optimization pp. 548-560

Xuran Meng, Yuan Cao and Weichen Wang

Improved Bounds and Inference on Optimal Regimes pp. 561-573

Julien D. Laurendeau, Aaron L. Sarvet and Mats J. Stensrud

Debiased Calibration Estimation Using Generalized Entropy in Survey Sampling pp. 574-584

Yonghyun Kwon, Jae Kwang Kim and Yumou Qiu

Dimension Reduction for Large-Scale Federated Data: Statistical Rate and Asymptotic Inference pp. 585-597

Shuting Shen, Junwei Lu and Xihong Lin

Online Policy Learning and Inference by Matrix Completion pp. 598-611

Congyuan Duan, Jingyang Li and Dong Xia

A Minimax Two-Sample Test for Functional Data via Grothendieck’s Divergence pp. 612-623

Yan Chen, Hongmei Lin, Xueqin Wang and Canhong Wen

Effect Aliasing in Observational Studies pp. 624-635

Paul R. Rosenbaum and José R. Zubizarreta

Provably Efficient Posterior Sampling for Sparse Linear Regression via Measure Decomposition pp. 636-654

Andrea Montanari and Yuchen Wu

Inference for Low-Rank Models Without Estimating the Rank pp. 655-666

Jungjun Choi, Hyukjun Kwon and Yuan Liao

Inference on the Proportion of Variance Explained in Principal Component Analysis pp. 667-677

Ronan Perry, Snigdha Panigrahi, Jacob Bien and Daniela Witten

A Powerful Transformation of Quantitative Responses for Biobank-Scale Association Studies pp. 678-689

Yaowu Liu and Tianying Wang

Confidence Sets for Causal Orderings pp. 690-703

Y. Samuel Wang, Mladen Kolar and Mathias Drton

Causality-Oriented Robustness: Exploiting General Noise Interventions pp. 704-715

Xinwei Shen, Peter Bühlmann and Armeen Taeb

A Bayesian Nonparametric Approach to Mediation and Spillover Effects with Multiple Mediators in Cluster-Randomized Trials pp. 716-728

Yuki Ohnishi and Fan Li

Inference for Dispersion and Curvature of Random Objects pp. 729-740

Wookyeong Song and Hans-Georg Müller

On the Poor Statistical Properties of the P-Curve Meta-Analytic Procedure pp. 741-753

Richard D. Morey and Clintin P. Davis-Stober

Data Thinning for Poisson Factor Models and its Applications pp. 754-767

Zhijing Wang, Peirong Xu, Hongyu Zhao and Tao Wang

Linear-Cost Vecchia Approximation of Multivariate Normal Probabilities pp. 768-781

Jian Cao and Matthias Katzfuss

Word-Level Maximum Mean Discrepancy Regularization for Word Embedding pp. 782-795

Youqian Gao and Ben Dai

Balanced Sampling With Inequalities: Application to Category Bounding, Matrix Rounding, and Spread Sampling pp. 796-806

Arnaud Tripet and Yves Tillé

Possibilistic Inferential Models: A Review pp. 807-826

Ryan Martin

Causal Inference in Pharmaceutical Statistics pp. 827-829

Ashley L. Buchanan

Learning with the Minimum Description Length Principle pp. 829-832

Peter D. Grünwald

Likelihood Methods in Survival Analysis: With R Examples pp. 833-834

Lu Mao

Model to Meaning: How to Interpret Statistical Models with R and Python pp. 834-834

Brenda Betancourt

Correction to “Partial Factor Modeling: Predictor-Dependent Shrinkage for Linear Regression” pp. 835-835

The Editors

Correction: Quantification of Vaccine Waning as a Challenge Effect pp. 836-837

The Editors

Correction pp. 838-838

The Editors