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Content
April 2026, Volume 121, Issue 554
- 839-850 The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review
by Buxin Su & Jiayao Zhang & Natalie Collina & Yuling Yan & Didong Li & Kyunghyun Cho & Jianqing Fan & Aaron Roth & Weijie Su - 851-852 A Discussion on “The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review”
by Dinghuai Zhang & Yoshua Bengio - 853-854 Discussion of “The ICML 2023 Ranking Experiment” by Su et al
by Andreas Haupt & Sanmi Koyejo - 855-861 Comments: Can Statistics and AI Technologies Help Our Troubled Review System?
by Xiao-Li Meng - 862-865 From Authors to Reviewers: Leveraging Rankings to Improve Peer Review
by Weichen Wang & Chengchun Shi - 866-866 Discussion of “The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review”
by Ying Wang & Mengye Ren - 867-870 Discussion of “The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review”
by Linjun Zhang & Lexin Li - 871-876 Rejoinder: The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review
by Buxin Su & Jiayao Zhang & Natalie Collina & Yuling Yan & Didong Li & Kyunghyun Cho & Jianqing Fan & Aaron Roth & Weijie Su - 877-890 The Impact of Job Stability on Monetary Poverty in Italy: Causal Small Area Estimation
by Katarzyna Reluga & Dehan Kong & Setareh Ranjbar & Nicola Salvati & Mark van der Laan - 891-904 Emerging Knowledge Trend in Statistical Research: A Content-Based Analysis Using Covariate-Assisted Dynamic Topic Model
by Chenxuan He & Feifei Wang & Liping Zhu - 905-916 SurvSTAAR: A Powerful Statistical Framework for Rare Variant Analysis of Time-to-Event Traits in Large-Scale Whole-Genome Sequencing Studies
by Yidan Cui & Shiyang Ma & Yuxin Yuan & Nengjie Zhu & Haifeng Chen & Ting Wei & Zilin Li & Xihao Li & Zhangsheng Yu - 917-928 Subtype-Aware Registration of Longitudinal Electronic Health Records
by Xin Gai & Shiyi Jiang & Anru R. Zhang - 929-937 Analyzing Cross-Trait Genetic Architecture with the BIGA Cloud Computing Platform
by Yujue Li & Fei Xue & Bingxuan Li & Yilin Yang & Zirui Fan & Juan Shu & Xiaochen Yang & Xiyao Wang & Jinjie Lin & Carlos Copana & Bingxin Zhao - 938-949 Heterogeneous Gene Network Estimation for Single-Cell Transcriptomic Data via a Joint Regularized Deep Neural Network
by Jingyuan Yang & Tao Li & Tianyi Wang & Shuangge Ma & Mengyun Wu - 950-962 Bayesian Phase 1–2 Designs with Adaptive Rules for Staggering Patient Entry
by Shuqi Wang & Peter F. Thall & Ying Yuan & Suyu Liu - 963-975 Factorial Difference-in-Differences
by Yiqing Xu & Anqi Zhao & Peng Ding - 976-987 An AI-powered Bayesian Generative Modeling Approach for Causal Inference in Observational Studies
by Qiao Liu & Wing Hung Wong - 988-999 Mini-batch Estimation for Deep Cox Models: Statistical Foundations and Practical Guidance
by Lang Zeng & Weijing Tang & Zhao Ren & Ying Ding - 1000-1012 Learning When the Concept Shifts: Confounding, Invariance, and Dimension Reduction
by Kulunu Dharmakeerthi & YoonHaeng Hur & Tengyuan Liang - 1013-1024 Efficient Human-in-the-Loop Active Learning: A Novel Framework for Data Labeling in AI Systems
by Yiran Huang & Jian-Feng Yang & Haoda Fu - 1025-1036 Distributional Off-Policy Evaluation with Deep Quantile Process Regression
by Qi Kuang & Chao Wang & Yuling Jiao & Fan Zhou - 1037-1050 Low-Rank Contextual Reinforcement Learning from Heterogeneous Human Feedback
by Seong Jin Lee & Will Wei Sun & Yufeng Liu - 1051-1063 Deep P-Spline: Theory, Fast Tuning, and Application
by Noah Yi-Ting Hung & Li-Hsiang Lin & Vince D. Calhoun - 1064-1076 Winner’s Curse Free Robust Mendelian Randomization with Summary Data
by Zhongming Xie & Wanheng Zhang & Jingshen Wang & Chong Wu - 1077-1089 Risk-Sensitive Deep RL: Variance-Constrained Actor-Critic Provably Finds Globally Optimal Policy
by Han Zhong & Xun Deng & Ethan X. Fang & Zhuoran Yang & Zhaoran Wang & Runze Li - 1090-1102 Efficient Distributed Learning over Decentralized Networks with Convoluted Support Vector Machine
by Canyi Chen & Nan Qiao & Liping Zhu - 1103-1115 Conjugate Gradient Methods for High-Dimensional GLMMs
by Andrea Pandolfi & Omiros Papaspiliopoulos & Giacomo Zanella - 1116-1127 Differentially Private Sliced Inverse Regression: Minimax Optimality and Algorithm
by Xintao Xia & Linjun Zhang & Zhanrui Cai - 1128-1140 Conditional Data Synthesis Augmentation
by Xinyu Tian & Xiaotong Shen - 1141-1153 Reconstruct Ising Model With Global Optimality via SLIDE
by Xuanyu Chen & Jin Zhu & Junxian Zhu & Xueqin Wang & Heping Zhang - 1154-1166 Transfer Learning Under Large-Scale Low-Rank Regression Models
by Seyoung Park & Eun Ryung Lee & Hyunjin Kim & Hongyu Zhao - 1167-1179 Covariate-Elaborated Robust Partial Information Transfer with Conditional Spike-and-Slab Prior
by Ruqian Zhang & Yijiao Zhang & Juan Shen & Zhongyi Zhu & Annie Qu - 1180-1191 Factor-Adjusted Model Averaging
by Wenhui Li & Xinyu Zhang - 1192-1205 Factor Augmented Matrix Regression
by Elynn Chen & Jianqing Fan & Xiaonan Zhu - 1206-1218 A Unified Framework for Estimation of High-Dimensional Conditional Factor Models
by Qihui Chen - 1219-1231 Frequency-Band Estimation of the Number of Factors
by Marco Avarucci & Maddalena Cavicchioli & Mario Forni & Paolo Zaffaroni - 1232-1243 High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections
by Jiaxin Shi & Xuening Zhu & Jing Zhou & Baichen Yu & Hansheng Wang - 1244-1255 Belted and Ensembled Neural Network for Linear and Nonlinear Sufficient Dimension Reduction
by Yin Tang & Bing Li - 1256-1268 Chain-Linked Multiple Matrix Integration via Embedding Alignment
by Runbing Zheng & Minh Tang - 1269-1283 Network Regression and Supervised Centrality Estimation
by Junhui Cai & Dan Yang & Ran Chen & Haipeng Shen & Linda Zhao & Wu Zhu - 1284-1295 When Does Bottom-Up Beat Top-Down in Hierarchical Community Detection?
by Maximilien Dreveton & Daichi Kuroda & Matthias Grossglauser & Patrick Thiran - 1296-1309 Multivariate Analysis for Multiple Network Data via Semi-Symmetric Tensor PCA
by Michael Weylandt & George Michailidis - 1310-1323 Conditional Probability Tensor Decompositions for Multivariate Categorical Response Regression
by Aaron J. Molstad & Xin Zhang - 1324-1335 Policy Learning with Distributional Welfare
by Yifan Cui & Sukjin Han - 1336-1348 Dynamic Decision Making With Individualized Variable Selection
by Bryan Cai & Ying Cui & Haoda Fu & Donald M. Lloyd-Jones & Lihui Zhao & Tian Lu - 1349-1360 A Regression Framework for Studying Relationships among Attributes under Network Interference
by Cornelius Fritz & Michael Schweinberger & Subhankar Bhadra & David R. Hunter - 1361-1371 Cluster-Randomized Trials with Cross-Cluster Interference
by Michael P. Leung - 1372-1383 Identification and Multiply Robust Estimation of Causal Effects via Instrumental Variables from An Auxiliary Population
by Wei Li & Jiapeng Liu & Peng Ding & Zhi Geng - 1384-1397 Blessing from Human-AI Interaction: Super Policy Learning in Confounded Environments
by Jiayi Wang & Chengchun Shi & Zhengling Qi - 1398-1409 Adversarial Estimation of Riesz Representers
by Victor Chernozhukov & Whitney K. Newey & Rahul Singh & Vasilis Syrgkanis - 1410-1423 Nonparametric Density Estimation of a Long-Term Trend from Repeated Semicontinuous Data
by Félix Camirand Lemyre & Raymond J. Carroll & Aurore Delaigle - 1424-1434 Functional Partial Least-Squares: Adaptive Estimation and Inference
by Andrii Babii & Marine Carrasco & Idriss Tsafack - 1435-1446 SPARCC: Semi-Parametric Robust Estimation in a Right-Censored Covariate Model
by Seong-ho Lee & Brian D. Richardson & Yanyuan Ma & Karen S. Marder & Tanya P. Garcia - 1447-1459 Localizing Strictly Proper Scoring Rules
by Ramon F. A. de Punder & Cees G. H. Diks & Roger J. A. Laeven & Dick J. C. van Dijk - 1460-1472 On a Class of Sobolev Tests for Symmetry, their Detection Thresholds, and Asymptotic Powers
by Eduardo García-Portugués & Davy Paindaveine & Thomas Verdebout - 1473-1485 Enhanced Power Enhancements for Testing Many Moment Equalities: Beyond the 2- and ∞-norm
by Anders Bredahl Kock & David Preinerstorfer - 1486-1498 Scan Statistics for the Detection of Anomalies in M-Dependent Random Fields with Applications to Image Data
by Claudia Kirch & Philipp Klein & Marco Meyer - 1499-1510 Efficiency of QMLE for Dynamic Panel Data Models with Interactive Effects
by Jushan Bai - 1511-1521 A New Approach for Homogeneity Pursuit in Short Panel Data Analysis
by Yang Han & Weichi Wu & Wenyang Zhang - 1522-1535 Simultaneous Inference for Monotone and Smoothly Time-Varying Functions Under Complex Temporal Dynamics
by Tianpai Luo & Weichi Wu - 1536-1548 Bayesian Nonparametric Spectral Analysis of Locally Stationary Processes
by Yifu Tang & Claudia Kirch & Jeong Eun Lee & Renate Meyer - 1549-1561 Bayesian Geostatistics Using Predictive Stacking
by Lu Zhang & Wenpin Tang & Sudipto Banerjee - 1562-1573 Optimal Plug-in Gaussian Processes for Modeling Derivatives
by Zejian Liu & Meng Li - 1574-1587 Bayesian Image Analysis in Fourier Space
by John Kornak & Karl Young & Eric Friedman & Konstantinos Bakas - 1588-1600 Posterior Risk of Modular and Semi-Modular Bayesian Inference
by David T. Frazier & David J. Nott - 1601-1615 Spatiotemporal Besov Priors for Bayesian Inverse Problems
by Shiwei Lan & Mirjeta Pasha & Shuyi Li & Weining Shen - 1616-1625 Construction of Asymmetric Nested Orthogonal Arrays
by Shanqi Pang & Xiao Lin & Mingyao Ai & Peter Chien - 1626-1636 Universally Optimal Designs for Symmetric Models in Order-of-Addition Experiments
by Ze Liu & Yongdao Zhou & Min-Qian Liu - 1637-1646 Optimal Run Order for Order-of-Addition Experiments
by Chunyan Wang & Jiayu Peng & Dennis K. J. Lin - 1647-1660 Developing A Practical Measure: An Asymmetric Mean Squared Prediction Error for Small Area Estimation
by Haiqiang Ma & Thuan Nguyen & Jiming Jiang - 1661-1670 Impact of Existence and Nonexistence of Pivot on the Coverage of Empirical Best Linear Prediction Intervals for Small Areas
by Yuting Chen & Masayo Y. Hirose & Partha Lahiri - 1671-1682 Bias Control for M-Quantile-Based Small Area Estimators
by Francesco Schirripa Spagnolo & Nicola Salvati & Gaia Bertarelli & David Haziza & Ray Chambers - 1683-1694 Random Pairing MLE for Estimation of Item Parameters in Rasch Model
by Yuepeng Yang & Cong Ma - 1695-1707 Consistent Least Squares Estimation in Population-Size-Dependent Branching Processes
by Peter Braunsteins & Sophie Hautphenne & Carmen Minuesa - 1708-1724 A Statistician’s Overview of Physics-Informed Neural Networks for Spatio-Temporal Data
by Christopher K. Wikle & Joshua North & Giri Gopalan & Myungsoo Yoo - 1725-1726 Bayesian Precision Medicine
by Yang Ni - 1727-1728 Introduction to Quantitative Social Science with Python
by Salil Koner - 1729-1733 Seminal Ideas and Controversies in Statistics
by Jonathan P. Williams - 1734-1734 Change Point Analysis: Theory and Application (by Baisuo Jin and Jialiang Li)
by Abhishek Kaul - 1735-1735 Correction for: Generalized factor model for ultra-high dimensional correlated variables with mixed types
by The Editors
January 2026, Volume 121, Issue 553
- 1-13 LAMBDA: A Large Model Based Data Agent
by Maojun Sun & Ruijian Han & Binyan Jiang & Houduo Qi & Defeng Sun & Yancheng Yuan & Jian Huang - 14-16 Discussion of “LAMBDA: A Large Model Based Data Agent”
by David Donoho - 17-18 Discussion of LAMBDA: A Large Model Based Data Agent
by Xihong Lin - 19-25 Comments: Systems Thinking, Data Minding, and Mindware Agents for Multi-Agent Data Analysis Systems
by Xiao-Li Meng - 26-28 Discussion of “LAMBDA: Large Model Based Data Agent”
by Xuewei Wang & Rui (Sammi) Tang - 29-33 Discussion of “LAMBDA: Large Model Based Data Agent”
by Bang Liu & Run Yang & Fan Zhou - 34-35 AI Agents for Data Science: A Discussion of “LAMBDA: A Large Model Based Data Agent”
by James Zou & Mert Yuksekgonul - 36-43 Rejoinder to the Discussions on “LAMBDA: A Large Model Based Data Agent”
by Maojun Sun & Ruijian Han & Binyan Jiang & Houduo Qi & Defeng Sun & Yancheng Yuan & Jian Huang - 44-59 Additive Multi-Index Gaussian Process Modeling, with Application to Multi-Physics Surrogate Modeling of the Quark-Gluon Plasma
by Kevin Li & Simon Mak & J.-F. Paquet & Steffen A. Bass - 60-71 Using Total Margin of Error to Account for Non-Sampling Error in Election Polls
by Jeff Dominitz & Charles F. Manski - 72-84 Understanding Inequalities in Cancer Survival Using Bayesian Machine Learning
by Piyali Basak & Camille Maringe & F. Javier Rubio & Antonio R. Linero - 85-99 SMART-MC: Characterizing the Dynamics of Multiple Sclerosis Therapy Transitions Using a Covariate-Based Markov Model
by Beomchang Kim & Zongqi Xia & Priyam Das - 100-112 Bayesian Signal Matching for Transfer Learning in ERP-Based Brain Computer Interface
by Tianwen Ma & Jane E. Huggins & Jian Kang - 113-125 Spatial Variation on Multiple Scales in Line Transect Data; the Case of Antarctic Fin Whales
by Olav Nikolai Breivik & Hans J. Skaug & Martin Jullum & Martin Biuw - 126-136 Elastic Shape Analysis of Movement Data
by J. E. Borgert & Jan Hannig & J. Derek Tucker & Liubov Arbeeva & Ashley N. Buck & Yvonne M. Golightly & Stephen P. Messier & Amanda E. Nelson & J. S. Marron - 137-148 Online Auction Design Using Distribution-Free Uncertainty Quantification with Applications to E-Commerce
by Jiale Han & Xiaowu Dai - 149-162 A Factor-Copula Latent-Vine Time Series Model for Extreme Flood Insurance Losses
by Xiaoting Li & Harry Joe & Christian Genest - 163-171 Efficient Optimization of Plasma Radiation Detector Configurations using Imperfect Inference Models
by Difan Song & William E. Lewis & Patrick F. Knapp & C. F. Jeff Wu & V. Roshan Joseph - 172-180 PALAR: Estimation of Absolute Abundance Effects in Regression with Relative Abundance Predictors
by Yiluan Li & Qiyu Wang & Zekang Feng & Xueqin Wang & Zheng-Zheng Tang - 181-193 The Effect of Alcohol Intake on Brain White Matter Microstructural Integrity: A New Causal Inference Framework for Incomplete Phenomic Data
by Chixiang Chen & Shuo Chen & Zhenyao Ye & Xu Shi & Tianzhou Ma & Michelle Shardell - 194-208 Deep Discrete Encoders: Identifiable Deep Generative Models for Rich Data with Discrete Latent Layers
by Seunghyun Lee & Yuqi Gu - 209-222 Reinforcement Learning with Continuous Actions Under Unmeasured Confounding
by Yuhan Li & Eugene Han & Yifan Hu & Wenzhuo Zhou & Zhengling Qi & Yifan Cui & Ruoqing Zhu - 223-236 Deep Clustering Evaluation: How to Validate Internal Clustering Validation Measures
by Zeya Wang & Chenglong Ye - 237-246 Variable Significance Testing for the Deep Cox Model
by Qixian Zhong & Jonas Mueller & Jane-Ling Wang - 247-258 Towards Better Statistical Understanding of Watermarking LLMs
by Zhongze Cai & Shang Liu & Hanzhao Wang & Huaiyang Zhong & Xiaocheng Li - 259-275 Toward Interpretable Deep Generative Models via Causal Representation Learning
by Gemma Moran & Bryon Aragam - 276-288 Data-Driven Knowledge Transfer in Batch Q* Learning
by Elynn Chen & Xi Chen & Wenbo Jing - 289-299 Data-Driven Tuning Parameter Selection for High-Dimensional Vector Autoregressions
by Anders B. Kock & Rasmus S. Pedersen & Jesper R.-V. Sørensen - 300-311 Incorporating Auxiliary Variables to Improve the Efficiency of Time-Varying Treatment Effect Estimation
by Jieru Shi & Zhenke Wu & Walter Dempsey - 312-325 Design-Based Causal Inference with Missing Outcomes: Missingness Mechanisms, Imputation-Assisted Randomization Tests, and Covariate Adjustment
by Siyu Heng & Jiawei Zhang & Yang Feng - 326-337 Mutually Exciting Point Processes with Latency
by Yoann Potiron & Vladimir Volkov - 338-350 A Practical Interval Estimation Method for Spectral Density Function
by Haihan Yu & Mark S. Kaiser & Daniel J. Nordman - 351-359 Testing Elliptical Models in High Dimensions
by Siyao Wang & Miles E. Lopes - 360-372 Adaptive Selection for False Discovery Rate Control Leveraging Symmetry
by Kehan Wang & Yuexin Chen & Yixin Han & Wangli Xu & Linglong Kong - 373-388 Higher-Order Accurate Two-Sample Network Inference and Network Hashing
by Meijia Shao & Dong Xia & Yuan Zhang & Qiong Wu & Shuo Chen - 389-399 Checking the Cox Proportional Hazards Model with Interval-Censored Data
by Yangjianchen Xu & Donglin Zeng & D. Y. Lin - 400-412 On a Notion of Graph Centrality Based on L1 Data Depth
by Seungwoo Kang & Hee-Seok Oh - 413-426 High-Dimensional Covariance Regression with Application to Co-Expression QTL Detection
by Rakheon Kim & Jingfei Zhang - 427-439 Kernel Density Estimation with Polyspherical Data and its Applications
by Eduardo García-Portugués & Andrea Meilán-Vila - 440-453 Testing and Support Recovery in Population-Based Image Data
by Lianqiang Qu & Jian Huang & Liuquan Sun & Hongtu Zhu - 454-464 Integrated Path Stability Selection
by Omar Melikechi & Jeffrey W. Miller - 465-476 Statistical Quantile Learning for Large Additive Latent Variable Models
by Julien Bodelet & Guillaume Blanc & Jiajun Shan & Graciela Muniz Terrera & Oliver Y. Chén - 477-491 Design-Based Uncertainty for Quasi-Experiments
by Ashesh Rambachan & Jonathan Roth - 492-501 Long-Term Effect Estimation When Combining Clinical Trial and Observational Follow-Up Datasets
by Gang Cheng & Yen-Chi Chen & Joseph M. Unger & Cathee Till & Ying-Qi Zhao - 502-512 Design and Analysis of Randomized Trials to Estimate Spatio-Temporally Heterogeneous Treatment Effects
by Samuel I. Watson & Thomas A. Smith - 513-524 SOFARI: High-Dimensional Manifold-Based Inference
by Zemin Zheng & Xin Zhou & Yingying Fan & Jinchi Lv - 525-535 Fast Approximation of Shapley Values Through Fractional Factorial Designs
by Zheng Zhou & Robert Mee & Herbert Hamers & Wei Zheng - 536-547 A Goodness-of-Fit Assessment for General Learning Procedures in High Dimensions
by Chenxuan He & Canyi Chen & Liping Zhu - 548-560 Estimation of Out-of-Sample Sharpe Ratio for High Dimensional Portfolio Optimization
by Xuran Meng & Yuan Cao & Weichen Wang - 561-573 Improved Bounds and Inference on Optimal Regimes
by Julien D. Laurendeau & Aaron L. Sarvet & Mats J. Stensrud - 574-584 Debiased Calibration Estimation Using Generalized Entropy in Survey Sampling
by Yonghyun Kwon & Jae Kwang Kim & Yumou Qiu - 585-597 Dimension Reduction for Large-Scale Federated Data: Statistical Rate and Asymptotic Inference
by Shuting Shen & Junwei Lu & Xihong Lin - 598-611 Online Policy Learning and Inference by Matrix Completion
by Congyuan Duan & Jingyang Li & Dong Xia - 612-623 A Minimax Two-Sample Test for Functional Data via Grothendieck’s Divergence
by Yan Chen & Hongmei Lin & Xueqin Wang & Canhong Wen - 624-635 Effect Aliasing in Observational Studies
by Paul R. Rosenbaum & José R. Zubizarreta - 636-654 Provably Efficient Posterior Sampling for Sparse Linear Regression via Measure Decomposition
by Andrea Montanari & Yuchen Wu - 655-666 Inference for Low-Rank Models Without Estimating the Rank
by Jungjun Choi & Hyukjun Kwon & Yuan Liao - 667-677 Inference on the Proportion of Variance Explained in Principal Component Analysis
by Ronan Perry & Snigdha Panigrahi & Jacob Bien & Daniela Witten - 678-689 A Powerful Transformation of Quantitative Responses for Biobank-Scale Association Studies
by Yaowu Liu & Tianying Wang - 690-703 Confidence Sets for Causal Orderings
by Y. Samuel Wang & Mladen Kolar & Mathias Drton - 704-715 Causality-Oriented Robustness: Exploiting General Noise Interventions
by Xinwei Shen & Peter Bühlmann & Armeen Taeb - 716-728 A Bayesian Nonparametric Approach to Mediation and Spillover Effects with Multiple Mediators in Cluster-Randomized Trials
by Yuki Ohnishi & Fan Li - 729-740 Inference for Dispersion and Curvature of Random Objects
by Wookyeong Song & Hans-Georg Müller - 741-753 On the Poor Statistical Properties of the P-Curve Meta-Analytic Procedure
by Richard D. Morey & Clintin P. Davis-Stober - 754-767 Data Thinning for Poisson Factor Models and its Applications
by Zhijing Wang & Peirong Xu & Hongyu Zhao & Tao Wang - 768-781 Linear-Cost Vecchia Approximation of Multivariate Normal Probabilities
by Jian Cao & Matthias Katzfuss - 782-795 Word-Level Maximum Mean Discrepancy Regularization for Word Embedding
by Youqian Gao & Ben Dai - 796-806 Balanced Sampling With Inequalities: Application to Category Bounding, Matrix Rounding, and Spread Sampling
by Arnaud Tripet & Yves Tillé - 807-826 Possibilistic Inferential Models: A Review
by Ryan Martin - 827-829 Causal Inference in Pharmaceutical Statistics
by Ashley L. Buchanan - 829-832 Learning with the Minimum Description Length Principle
by Peter D. Grünwald - 833-834 Likelihood Methods in Survival Analysis: With R Examples
by Lu Mao - 834-834 Model to Meaning: How to Interpret Statistical Models with R and Python
by Brenda Betancourt - 835-835 Correction to “Partial Factor Modeling: Predictor-Dependent Shrinkage for Linear Regression”
by The Editors - 836-837 Correction: Quantification of Vaccine Waning as a Challenge Effect
by The Editors - 838-838 Correction
by The Editors
October 2025, Volume 120, Issue 552
- 2015-2027 Global and Episode-Specific Prediction of Recurrent Events Using Longitudinal Health Informatics Data
by Yifei Sun & Sy Han Chiou & Chiung-Yu Huang - 2028-2039 Bayesian Inference on Brain-Computer Interfaces via GLASS
by Bangyao Zhao & Jane E. Huggins & Jian Kang - 2040-2052 Analyzing Whale Calling through Hawkes Process Modeling
by Bokgyeong Kang & Erin M. Schliep & Alan E. Gelfand & Tina M. Yack & Christopher W. Clark & Robert S. Schick - 2053-2064 Adjacency Matrix Decomposition Clustering for Human Activity Data
by Martha Barnard & Yingling Fan & Julian Wolfson - 2065-2078 Manipulating an Instrumental Variable in an Observational Study of Premature Babies: Design, Bounds, and Inference
by Zhe Chen & Min Haeng Cho & Bo Zhang - 2079-2089 Modeling Tree Survival for Investigating Climate Change Effects
by Nicole Augustin & Axel Albrecht & Karim Anaya-Izquierdo & Alice Davis & Stefan Meining & Heike Puhlmann & Simon Wood - 2090-2101 A Latent Variable Model for Individual Degree Measures in Respondent-Driven Sampling
by Yibo Wang & Sunghee Lee & Michael R. Elliott - 2102-2117 Integrative Analysis of Microbial 16S Gene and Shotgun Metagenomic Sequencing Data Improves Statistical Efficiency in Testing Differential Abundance
by Ye Yue & Yicong Mao & Timothy D. Read & Veronika Fedirko & Glen A. Satten & Xuan Chen & Xiang Zhan & Yi-Juan Hu - 2118-2127 Fair Coins Tend to Land on the Same Side They Started: Evidence from 350,757 Flips
by František Bartoš & Alexandra Sarafoglou & Henrik R. Godmann & Amir Sahrani & David Klein Leunk & Pierre Y. Gui & David Voss & Kaleem Ullah & Malte Zoubek & Franziska Nippold & Frederik Aust & Felipe Fontana Vieira & Chris-Gabriel Islam & Anton J. Zoubek & Sara Shabani & Jonas Petter & Ingeborg B. Roos & Adam Finnemann & Aaron B. Lob & Madlen F. Hoffstadt & Jason Nak & Jill de Ron & Koen Derks & Karoline Huth & Sjoerd Terpstra & Thomas Bastelica & Magda Matetovici & Vincent L. Ott & Andreea S. Zetea & Katharina Karnbach & Michelle C. Donzallaz & Arne John & Roy M. Moore & Franziska Assion & Riet van Bork & Theresa E. Leidinger & Xiaochang Zhao & Adrian Karami Motaghi & Ting Pan & Hannah Armstrong & Tianqi Peng & Mara Bialas & Joyce Y.-C. Pang & Bohan Fu & Shujun Yang & Xiaoyi Lin & Dana Sleiffer & Miklos Bognar & Balazs Aczel & Eric-Jan Wagenmakers - 2128-2139 Bayesian Random-Effects Meta-Analysis Integrating Individual Participant Data and Aggregate Data
by Yunxiang Huang & Hang J. Kim & Chiung-Yu Huang & Mi-Ok Kim - 2140-2153 Estimating Racial Disparities When Race is Not Observed
by Cory McCartan & Robin Fisher & Jacob Goldin & Daniel E. Ho & Kosuke Imai - 2154-2164 On the Algorithmic Bias of Aligning Large Language Models with RLHF: Preference Collapse and Matching Regularization
by Jiancong Xiao & Ziniu Li & Xingyu Xie & Emily Getzen & Cong Fang & Qi Long & Weijie J. Su - 2165-2180 Boosting AI-Generated Biomedical Images with Confidence through Advanced Statistical Inference
by Zhiling Gu & Shan Yu & Guannan Wang & Lily Wang - 2181-2195 On the Modeling and Prediction of High-Dimensional Functional Time Series
by Jinyuan Chang & Qin Fang & Xinghao Qiao & Qiwei Yao - 2196-2209 Coefficient Shape Alignment in Multiple Functional Linear Regression
by Shuhao Jiao & Ngai-Hang Chan - 2210-2221 Two Sample Test for Covariance Matrices in Ultra-High Dimension
by Xiucai Ding & Yichen Hu & Zhenggang Wang - 2222-2234 Local Signal Detection on Irregular Domains with Generalized Varying Coefficient Models
by Chengzhu Zhang & Lan Xue & Yu Chen & Heng Lian & Annie Qu - 2235-2249 A Novel Approach of High Dimensional Linear Hypothesis Testing Problem
by Zhe Zhang & Xiufan Yu & Runze Li - 2250-2261 On the Comparative Analysis of Average Treatment Effects Estimation via Data Combination
by Peng Wu & Shanshan Luo & Zhi Geng - 2262-2275 Optimal Multitask Linear Regression and Contextual Bandits under Sparse Heterogeneity
by Xinmeng Huang & Kan Xu & Donghwan Lee & Hamed Hassani & Hamsa Bastani & Edgar Dobriban - 2276-2287 Estimation and Variable Selection for Interval-Censored Failure Time Data with Random Change Point and Application to Breast Cancer Study
by Mingyue Du & Yichen Lou & Jianguo Sun - 2288-2301 Comparison of Longitudinal Trajectories Using a High-Dimensional Partial Linear Semiparametric Mixed-Effects Model
by Sami Leon & Tong Tong Wu - 2302-2313 Analysis of Variance of Tensor Product Reproducing Kernel Hilbert Spaces on Metric Spaces
by Zhanfeng Wang & Rui Pan & Xueqin Wang & Yuedong Wang - 2314-2325 Estimation and Inference for Nonparametric Expected Shortfall Regression over RKHS
by Myeonghun Yu & Yue Wang & Siyu Xie & Kean Ming Tan & Wen-Xin Zhou - 2326-2337 Large Precision Matrix Estimation with Unknown Group Structure
by Cong Cheng & Yuan Ke & Wenyang Zhang - 2338-2349 A Bias-Accuracy-Privacy Trilemma for Statistical Estimation
by Gautam Kamath & Argyris Mouzakis & Matthew Regehr & Vikrant Singhal & Thomas Steinke & Jonathan Ullman - 2350-2361 Inferences in Multinomial Dynamic Mixed Logit Models
by Alwell Oyet & Brajendra C. Sutradhar & R. Prabhakar Rao - 2362-2371 Semiparametric Regression Analysis of Interval-Censored Multi-State Data with An Absorbing State
by Yu Gu & Donglin Zeng & D. Y. Lin - 2372-2384 An Adaptive Adjustment to the R2 Statistic in High-Dimensional Elliptical Models
by Shizhe Hong & Weiming Li & Qiang Liu & Yangchun Zhang - 2385-2396 Discovering the Network Granger Causality in Large Vector Autoregressive Models
by Yoshimasa Uematsu & Takashi Yamagata - 2397-2409 Hub Detection in Gaussian Graphical Models
by José Á. Sánchez Gómez & Weibin Mo & Junlong Zhao & Yufeng Liu - 2410-2421 Testing Mutually Exclusive Hypotheses for Multi-Response Regressions
by Jiaqi Huang & Wenbiao Zhao & Lixing Zhu - 2422-2434 Estimation of Over-Parameterized Models from an Auto-Modeling Perspective
by Yiran Jiang & Chuanhai Liu - 2435-2448 Degree-Heterogeneous Latent Class Analysis for High-Dimensional Discrete Data
by Zhongyuan Lyu & Ling Chen & Yuqi Gu - 2449-2460 Random Effects Model-Based Sufficient Dimension Reduction for Independent Clustered Data
by Linh H. Nghiem & Francis K. C. Hui - 2461-2472 Deep Regression for Repeated Measurements
by Shunxing Yan & Fang Yao & Hang Zhou - 2473-2483 Class-Specific Joint Feature Screening in Ultrahigh-Dimensional Mixture Regression
by Kaili Jing & Abbas Khalili & Chen Xu - 2484-2497 Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes
by Jin-Hong Du & Zhenghao Zeng & Edward H. Kennedy & Larry Wasserman & Kathryn Roeder - 2498-2509 Network Varying Coefficient Model
by Xinyan Fan & Kuangnan Fang & Wei Lan & Chih-Ling Tsai - 2510-2521 Statistical Inference for High-Dimensional Convoluted Rank Regression
by Leheng Cai & Xu Guo & Heng Lian & Liping Zhu - 2522-2534 Multi-Dimensional Domain Generalization with Low-Rank Structures
by Sai Li & Linjun Zhang - 2535-2546 Dynamic Regression of Longitudinal Trajectory Features
by Huijuan Ma & Wei Zhao & John Hanfelt & Limin Peng - 2547-2558 Positive and Unlabeled Data: Model, Estimation, Inference, and Classification
by Siyan Liu & Chi-Kuang Yeh & Xin Zhang & Qinglong Tian & Pengfei Li