Content
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 - 2559-2568 An Economical Approach to Design Posterior Analyses
by Luke Hagar & Nathaniel T. Stevens - 2569-2579 Data Fusion Using Weakly Aligned Sources
by Sijia Li & Peter B. Gilbert & Rui Duan & Alex Luedtke - 2580-2591 Kernel Meets Sieve: Transformed Hazards Models with Sparse Longitudinal Covariates
by Dayu Sun & Zhuowei Sun & Xingqiu Zhao & Hongyuan Cao - 2592-2605 Sparse Bayesian Multidimensional Item Response Theory
by Jiguang Li & Robert Gibbons & Veronika Ročková - 2606-2618 Communication-Efficient Distributed Sparse Learning with Oracle Property and Geometric Convergence
by Weidong Liu & Xiaojun Mao & Jiyuan Tu - 2619-2631 Distributed Tensor Principal Component Analysis with Data Heterogeneity
by Elynn Chen & Xi Chen & Wenbo Jing & Yichen Zhang - 2632-2645 Hypothesis Testing for a Functional Parameter via Self-Normalization
by Yi Zhang & Xiaofeng Shao - 2646-2657 Posterior Predictive Design for Phase I Clinical Trials
by Chenqi Fu & Shouhao Zhou & J. Jack Lee - 2658-2671 Network-Based Neighborhood Regression
by Yaoming Zhen & Jin-Hong Du - 2672-2683 Asymptotic Behavior of Adversarial Training Estimator under ℓ∞-Perturbation
by Yiling Xie & Xiaoming Huo - 2684-2696 Dependent Random Partitions by Shrinking Toward an Anchor
by David B. Dahl & Richard L. Warr & Thomas P. Jensen - 2697-2708 Unified Optimal Model Averaging with a General Loss Function based on Cross-Validation
by Dalei Yu & Xinyu Zhang & Hua Liang - 2709-2722 A New Approach to Optimal Design under Model Uncertainty Motivated by Multi-Armed Bandits
by Mingyao Ai & Holger Dette & Zhengfu Liu & Jun Yu - 2723-2736 Likelihood Ratio Tests in Random Graph Models with Increasing Dimensions
by Ting Yan & Yuanzhang Li & Jinfeng Xu & Yaning Yang & Ji Zhu - 2737-2748 A Smoothed-Bayesian Approach to Frequency Recovery from Sketched Data
by Mario Beraha & Stefano Favaro & Matteo Sesia - 2749-2761 Aggregated Projection Method: A New Approach for Group Factor Model
by Jiaqi Hu & Ting Li & Xueqin Wang - 2762-2771 Inference in Generalized Linear Models with Robustness to Misspecified Variances
by Riccardo De Santis & Jelle J. Goeman & Jesse Hemerik & Samuel Davenport & Livio Finos - 2772-2783 Nonparametric Test for Rough Volatility
by Carsten H. Chong & Viktor Todorov - 2784-2795 Adaptation Using Spatially Distributed Gaussian Processes
by Botond Szabo & Amine Hadji & Aad van der Vaart - 2796-2808 Tail Calibration of Probabilistic Forecasts
by Sam Allen & Jonathan Koh & Johan Segers & Johanna Ziegel - 2809-2821 A Bayesian Criterion for Rerandomization
by Zhaoyang Liu & Tingxuan Han & Donald B. Rubin & Ke Deng - 2822-2833 Identifying the Structure of High-Dimensional Time Series via Eigen-Analysis
by Bo Zhang & Jiti Gao & Guangming Pan & Yanrong Yang - 2834-2851 Fairness in Machine Learning: A Review for Statisticians
by Xianwen He & Yao Li - 2852-2853 Data Science for Infectious Disease Data Analytics: An Introduction with R
by Qi Zheng - 2853-2855 Exponential Families in Theory and Practice
by Jessica Gronsbell - 2855-2856 Mixture Models: Parametric, Semiparametric, and New Directions
by Hien D. Nguyen
July 2025, Volume 120, Issue 551
- 1323-1334 Identifying Genetic Variants for Brain Connectivity Using Ball Covariance Ranking and Aggregation
by Wei Dai & Heping Zhang - 1335-1346 Estimating Heterogeneous Exposure Effects in the Case-Crossover Design Using BART
by Jacob R. Englert & Stefanie T. Ebelt & Howard H. Chang - 1347-1359 Distributional Outcome Regression via Quantile Functions and its Application to Modelling Continuously Monitored Heart Rate and Physical Activity
by Rahul Ghosal & Sujit K. Ghosh & Jennifer A. Schrack & Vadim Zipunnikov - 1360-1372 Fast Signal Region Detection With Application to Whole Genome Association Studies
by Wei Zhang & Fan Wang & Fang Yao - 1373-1385 Prediction of Cognitive Function via Brain Region Volumes with Applications to Alzheimer’s Disease Based on Space-Factor-Guided Functional Principal Component Analysis
by Shoudao Wen & Yi Li & Dehan Kong & Huazhen Lin - 1386-1399 Safe Policy Learning through Extrapolation: Application to Pre-trial Risk Assessment
by Eli Ben-Michael & D. James Greiner & Kosuke Imai & Zhichao Jiang - 1400-1413 Estimating Heterogeneous Causal Mediation Effects with Bayesian Decision Tree Ensembles
by Angela Ting & Antonio R. Linero - 1414-1423 Who Are We Missing?: A Principled Approach to Characterizing the Underrepresented Population
by Harsh Parikh & Rachael K. Ross & Elizabeth Stuart & Kara E. Rudolph - 1424-1436 Debiasing Watermarks for Large Language Models via Maximal Coupling
by Yangxinyu Xie & Xiang Li & Tanwi Mallick & Weijie Su & Ruixun Zhang - 1437-1448 Deep Fréchet Regression
by Su I Iao & Yidong Zhou & Hans-Georg Müller - 1449-1462 Optimal Transport based Cross-Domain Integration for Heterogeneous Data
by Yubai Yuan & Yijiao Zhang & Babak Shahbaba & Norbert Fortin & Keiland Cooper & Qing Nie & Annie Qu - 1463-1476 Kernel Spectral Joint Embeddings for High-Dimensional Noisy Datasets Using Duo-Landmark Integral Operators
by Xiucai Ding & Rong Ma - 1477-1490 Statistical and Computational Efficiency for Smooth Tensor Estimation with Unknown Permutations
by Chanwoo Lee & Miaoyan Wang - 1491-1502 Modeling Hypergraphs with Diversity and Heterogeneous Popularity
by Xianshi Yu & Ji Zhu - 1503-1516 Federated Adaptive Causal Estimation (FACE) of Target Treatment Effects
by Larry Han & Jue Hou & Kelly Cho & Rui Duan & Tianxi Cai - 1517-1530 Distributional Off-Policy Evaluation in Reinforcement Learning
by Zhengling Qi & Chenjia Bai & Zhaoran Wang & Lan Wang - 1531-1544 When Frictions Are Fractional: Rough Noise in High-Frequency Data
by Carsten H. Chong & Thomas Delerue & Guoying Li - 1545-1557 Robust Bayesian Modeling of Counts with Zero Inflation and Outliers: Theoretical Robustness and Efficient Computation
by Yasuyuki Hamura & Kaoru Irie & Shonosuke Sugasawa - 1558-1568 Evaluation of Binary Classifiers for Asymptotically Dependent and Independent Extremes
by Juliette Legrand & Philippe Naveau & Marco Oesting - 1569-1579 Asymptotic Guarantees for Bayesian Phylogenetic Tree Reconstruction
by Alisa Kirichenko & Luke J. Kelly & Jere Koskela - 1580-1592 Frequency Domain Statistical Inference for High-Dimensional Time Series
by Jonas Krampe & Efstathios Paparoditis - 1593-1606 U-Statistic Reduction: Higher-Order Accurate Risk Control and Statistical-Computational Trade-Off
by Meijia Shao & Dong Xia & Yuan Zhang - 1607-1620 Joint Spectral Clustering in Multilayer Degree-Corrected Stochastic Blockmodels
by Joshua Agterberg & Zachary Lubberts & Jesús Arroyo - 1621-1632 Modeling Preferences: A Bayesian Mixture of Finite Mixtures for Rankings and Ratings
by Michael Pearce & Elena A. Erosheva - 1633-1644 Conformal Prediction for Network-Assisted Regression
by Robert Lunde & Elizaveta Levina & Ji Zhu - 1645-1656 Higher Order Accurate Symmetric Bootstrap Confidence Intervals in High Dimensional Penalized Regression
by Debraj Das & Arindam Chatterjee & S. N. Lahiri - 1657-1668 Sensitivity Analysis for Quantiles of Hidden Biases in Matched Observational Studies
by Dongxiao Wu & Xinran Li - 1669-1682 Simulation-Based, Finite-Sample Inference for Privatized Data
by Jordan Awan & Zhanyu Wang - 1683-1694 Efficient Estimation for Longitudinal Networks via Adaptive Merging
by Haoran Zhang & Junhui Wang - 1695-1710 Robust Inference for Federated Meta-Learning
by Zijian Guo & Xiudi Li & Larry Han & Tianxi Cai - 1711-1723 Deconvolution Density Estimation with Penalized MLE
by Yun Cai & Hong Gu & Toby Kenney - 1724-1735 Partial Quantile Tensor Regression
by Dayu Sun & Limin Peng & Zhiping Qiu & Ying Guo & Amita Manatunga - 1736-1746 Communication-Efficient Distributed Estimation and Inference for Cox’s Model
by Pierre Bayle & Jianqing Fan & Zhipeng Lou - 1747-1762 Matrix GARCH Model: Inference and Application
by Cheng Yu & Dong Li & Feiyu Jiang & Ke Zhu - 1763-1774 High-Dimensional Knockoffs Inference for Time Series Data
by Chien-Ming Chi & Yingying Fan & Ching-Kang Ing & Jinchi Lv - 1775-1786 Bayesian Clustering via Fusing of Localized Densities
by Alexander Dombowsky & David B. Dunson - 1787-1798 Robustifying Likelihoods by Optimistically Re-weighting Data
by Miheer Dewaskar & Christopher Tosh & Jeremias Knoblauch & David B. Dunson - 1799-1810 High-Dimensional Expected Shortfall Regression
by Shushu Zhang & Xuming He & Kean Ming Tan & Wen-Xin Zhou - 1811-1827 Partially Exchangeable Stochastic Block Models for (Node-Colored) Multilayer Networks
by Daniele Durante & Francesco Gaffi & Antonio Lijoi & Igor Prünster - 1828-1839 Phase-Type Distributions for Sieve Estimation
by Hu Xiangbin & Yudong Wang & Zhisheng Ye & Xingqiu Zhao - 1840-1852 A Unified Framework for Residual Diagnostics in Generalized Linear Models and Beyond
by Dungang Liu & Zewei Lin & Heping Zhang - 1853-1867 Estimation and Inference of Quantile Spatially Varying Coefficient Models Over Complicated Domains
by Myungjin Kim & Li Wang & Huixia Judy Wang - 1868-1878 Geometric Ergodicity of Trans-Dimensional Markov Chain Monte Carlo Algorithms
by Qian Qin - 1879-1892 Geodesic Mixed Effects Models for Repeatedly Observed/Longitudinal Random Objects
by Satarupa Bhattacharjee & Hans-Georg Müller - 1893-1905 Adaptive Testing for High-Dimensional Data
by Yangfan Zhang & Runmin Wang & Xiaofeng Shao - 1906-1918 When Composite Likelihood meets Stochastic Approximation
by Giuseppe Alfonzetti & Ruggero Bellio & Yunxiao Chen & Irini Moustaki - 1919-1932 Network Goodness-of-Fit for the Block-Model Family
by Jiashun Jin & Zheng Tracy Ke & Jiajun Tang & Jingming Wang - 1933-1944 High-Dimensional Variable Clustering based on Maxima of a Weakly Dependent Random Process
by Alexis Boulin & Elena Di Bernardino & Thomas Laloë & Gwladys Toulemonde - 1945-1959 Simultaneous Inference for Generalized Linear Models with Unmeasured Confounders
by Jin-Hong Du & Larry Wasserman & Kathryn Roeder - 1960-1974 Statistical Inference for High-Dimensional Spectral Density Matrix
by Jinyuan Chang & Qing Jiang & Tucker McElroy & Xiaofeng Shao - 1975-1989 Cutting Feedback in Misspecified Copula Models
by Michael Stanley Smith & Weichang Yu & David J. Nott & David T. Frazier - 1990-2001 Deep Mutual Density Ratio Estimation with Bregman Divergence and Its Applications
by Dongxiao Han & Siming Zheng & Guohao Shen & Xinyuan Song & Liuquan Sun & Jian Huang - 2002-2003 Spatial Linear Models for Environmental Data
by Bruno Sansó - 2003-2005 Generalized Linear Mixed Models: Modern Concepts, Methods and Applications, 2nd ed
by Xing Liu - 2005-2007 Ordinal Data Analysis: Statistical Perspective with Applications
by Maria Iannario - 2007-2009 Statistical Prediction and Machine Learning
by Michal Pešta - 2009-2010 Financial Data Analytics with R: Monte-Carlo Validation
by Tony Sit - 2011-2014 Correction
by The Editors
April 2025, Volume 120, Issue 550
- 591-604 Space-Time Extremes of Severe U.S. Thunderstorm Environments
by Jonathan Koh & Erwan Koch & Anthony C. Davison - 605-617 Testing a Large Number of Composite Null Hypotheses Using Conditionally Symmetric Multidimensional Gaussian Mixtures in Genome-Wide Studies
by Ryan Sun & Zachary R. McCaw & Xihong Lin - 618-630 A Physics-Informed, Deep Double Reservoir Network for Forecasting Boundary Layer Velocity
by Matthew Bonas & David H. Richter & Stefano Castruccio - 631-644 ℓ1-based Bayesian Ideal Point Model for Multidimensional Politics
by Sooahn Shin & Johan Lim & Jong Hee Park - 645-657 Spatio-Temporal Modeling for Record-Breaking Temperature Events in Spain
by Jorge Castillo-Mateo & Alan E. Gelfand & Zeus Gracia-Tabuenca & Jesús Asín & Ana C. Cebrián - 658-670 Unlocking Retrospective Prevalent Information in EHRs—A Revisit to the Pairwise Pseudolikelihood
by Nir Keret & Malka Gorfine - 671-684 Immune Profiling Among Colorectal Cancer Subtypes Using Dependent Mixture Models
by Yunshan Duan & Shuai Guo & Wenyi Wang & Peter Müller - 685-697 Inferring Causal Effect of a Digital Communication Strategy under a Latent Sequential Ignorability Assumption and Treatment Noncompliance
by Yuki Ohnishi & Bikram Karmakar & Wreetabrata Kar - 698-709 Combining Broad and Narrow Case Definitions in Matched Case-Control Studies: Firearms in the Home and Suicide Risk
by Ting Ye & Kan Chen & Dylan Small - 710-722 GeoWarp: Warped Spatial Processes for Inferring Subsea Sediment Properties
by Michael Bertolacci & Andrew Zammit-Mangion & Juan Valderrama Giraldo & Michael O’Neill & Fraser Bransby & Phil Watson - 723-736 Sparse Bayesian Group Factor Model for Feature Interactions in Multiple Count Tables Data
by Shuangjie Zhang & Yuning Shen & Irene A. Chen & Juhee Lee - 737-750 Rate-Optimal Rank Aggregation with Private Pairwise Rankings
by Shirong Xu & Will Wei Sun & Guang Cheng - 751-763 Population-Level Balance in Signed Networks
by Weijing Tang & Ji Zhu - 764-778 Node-Level Community Detection within Edge Exchangeable Models for Interaction Processes
by Yuhua Zhang & Walter Dempsey - 779-793 Distributed Heterogeneity Learning for Generalized Partially Linear Models with Spatially Varying Coefficients
by Shan Yu & Guannan Wang & Li Wang - 794-804 Mediation Analysis with the Mediator and Outcome Missing Not at Random
by Shuozhi Zuo & Debashis Ghosh & Peng Ding & Fan Yang - 805-817 False Discovery Rate Control For Structured Multiple Testing: Asymmetric Rules And Conformal Q-values
by Zinan Zhao & Wenguang Sun - 818-832 Nonparametric Multiple-Output Center-Outward Quantile Regression
by Eustasio del Barrio & Alberto González Sanz & Marc Hallin - 833-845 Test and Measure for Partial Mean Dependence Based on Machine Learning Methods
by Leheng Cai & Xu Guo & Wei Zhong - 846-858 Tyranny-of-the-Minority Regression Adjustment in Randomized Experiments
by Xin Lu & Hanzhong Liu - 859-868 Enhanced Response Envelope via Envelope Regularization
by Oh-Ran Kwon & Hui Zou - 869-883 Supervised Dynamic PCA: Linear Dynamic Forecasting with Many Predictors
by Zhaoxing Gao & Ruey S. Tsay - 884-895 Synthetic Likelihood in Misspecified Models
by David T. Frazier & David J. Nott & Christopher Drovandi - 896-908 Contextual Dynamic Pricing with Strategic Buyers
by Pangpang Liu & Zhuoran Yang & Zhaoran Wang & Will Wei Sun - 909-921 Statistical Inference for Hüsler–Reiss Graphical Models Through Matrix Completions
by Manuel Hentschel & Sebastian Engelke & Johan Segers - 922-934 Robust Matrix Completion with Heavy-Tailed Noise
by Bingyan Wang & Jianqing Fan - 935-947 Controlling the False Split Rate in Tree-Based Aggregation
by Simeng Shao & Jacob Bien & Adel Javanmard - 948-962 Optimal Network Membership Estimation under Severe Degree Heterogeneity
by Zheng Tracy Ke & Jingming Wang - 963-975 Parallel Sampling of Decomposable Graphs Using Markov Chains on Junction Trees
by Mohamad Elmasri - 976-989 Efficient Multiple Change Point Detection and Localization For High-Dimensional Quantile Regression with Heteroscedasticity
by Xianru Wang & Bin Liu & Xinsheng Zhang & Yufeng Liu - 990-1001 Natural Gradient Variational Bayes Without Fisher Matrix Analytic Calculation and Its Inversion
by A. Godichon-Baggioni & D. Nguyen & M.-N. Tran - 1002-1013 Robust Regression with Covariate Filtering: Heavy Tails and Adversarial Contamination
by Ankit Pensia & Varun Jog & Po-Ling Loh - 1014-1024 Statistical Inference for Networks of High-Dimensional Point Processes
by Xu Wang & Mladen Kolar & Ali Shojaie - 1025-1036 Euclidean Mirrors and Dynamics in Network Time Series
by Avanti Athreya & Zachary Lubberts & Youngser Park & Carey Priebe - 1037-1047 Semi-Supervised Triply Robust Inductive Transfer Learning
by Tianxi Cai & Mengyan Li & Molei Liu - 1048-1062 Optimal Network Pairwise Comparison
by Jiashun Jin & Zheng Tracy Ke & Shengming Luo & Yucong Ma - 1063-1076 Monte Carlo Inference for Semiparametric Bayesian Regression
by Daniel R. Kowal & Bohan Wu - 1077-1089 Zigzag Path Connects Two Monte Carlo Samplers: Hamiltonian Counterpart to a Piecewise Deterministic Markov Process
by Akihiko Nishimura & Zhenyu Zhang & Marc A. Suchard - 1090-1101 Model-Based Causal Feature Selection for General Response Types
by Lucas Kook & Sorawit Saengkyongam & Anton Rask Lundborg & Torsten Hothorn & Jonas Peters - 1102-1114 Off-Policy Evaluation in Doubly Inhomogeneous Environments
by Zeyu Bian & Chengchun Shi & Zhengling Qi & Lan Wang - 1115-1126 Improving Tensor Regression by Optimal Model Averaging
by Qiushi Bu & Hua Liang & Xinyu Zhang & Jiahui Zou - 1127-1138 Valid Inference After Causal Discovery
by Paula Gradu & Tijana Zrnic & Yixin Wang & Michael I. Jordan - 1139-1151 Robust Estimation for Number of Factors in High Dimensional Factor Modeling via Spearman Correlation Matrix
by Jiaxin Qiu & Zeng Li & Jianfeng Yao - 1152-1163 On Optimality of Mallows Model Averaging
by Jingfu Peng & Yang Li & Yuhong Yang - 1164-1177 Neyman-Pearson Multi-Class Classification via Cost-Sensitive Learning
by Ye Tian & Yang Feng - 1178-1188 Model-Based Clustering of Categorical Data Based on the Hamming Distance
by Raffaele Argiento & Edoardo Filippi-Mazzola & Lucia Paci - 1189-1200 Large-Scale Low-Rank Gaussian Process Prediction with Support Points
by Yan Song & Wenlin Dai & Marc G. Genton - 1201-1213 An Adaptive Transfer Learning Framework for Functional Classification
by Caihong Qin & Jinhan Xie & Ting Li & Yang Bai - 1214-1224 Estimating Higher-Order Mixed Memberships via the l2,∞ Tensor Perturbation Bound
by Joshua Agterberg & Anru R. Zhang - 1225-1238 A Model-Agnostic Graph Neural Network for Integrating Local and Global Information
by Wenzhuo Zhou & Annie Qu & Keiland W. Cooper & Norbert Fortin & Babak Shahbaba - 1239-1253 Inferring Covariance Structure from Multiple Data Sources via Subspace Factor Analysis
by Noirrit Kiran Chandra & David B. Dunson & Jason Xu - 1254-1266 Adaptive Learning of the Latent Space of Wasserstein Generative Adversarial Networks
by Yixuan Qiu & Qingyi Gao & Xiao Wang - 1267-1280 Iterative Methods for Vecchia-Laplace Approximations for Latent Gaussian Process Models
by Pascal Kündig & Fabio Sigrist - 1281-1293 A Sparse Beta Regression Model for Network Analysis
by Stefan Stein & Rui Feng & Chenlei Leng - 1294-1304 Robust Permutation Tests in Linear Instrumental Variables Regression
by Purevdorj Tuvaandorj - 1305-1317 Deep Regression Learning with Optimal Loss Function
by Xuancheng Wang & Ling Zhou & Huazhen Lin - 1318-1320 Handbook of Bayesian, Fiducial, and Frequentist Inference
by Mengyang Gu - 1320-1321 Soccer Analytics: An Introduction Using R
by Alexander Aue - 1321-1322 Objective Bayesian Inference
by Jaeyong Lee
January 2025, Volume 120, Issue 549
- 1-6 Our Mission in Action: Past, Present, and Future
by Dionne L. Price - 7-19 Poisson-FOCuS: An Efficient Online Method for Detecting Count Bursts with Application to Gamma Ray Burst Detection
by Kes Ward & Giuseppe Dilillo & Idris Eckley & Paul Fearnhead - 20-21 Discussion of “Poisson-FOCuS: An Efficient Online Method for Detecting Count Bursts with Application to Gamma Ray Burst Detection”
by Mikael Kuusela - 22-25 A Space Astrophysics Perspective on Poisson-FOCuS
by Carlo Graziani - 26-30 Discussion on “Poisson-FOCuS: An Efficient Online Method for Detecting Count Bursts with Application to Gamma Ray Burst Detection” by Ward, Dilillo, Eckley and Fearnhead
by Yang Chen - 31-33 Saha and Ramdas’ Discussion of “Poisson-FOCuS” by Ward, Dilillo, Eckley & Fearnhead
by Aytijhya Saha & Aaditya Ramdas - 34-37 Poisson-FOCuS: An Efficient Online Method for Detecting Count Bursts with Application to Gamma Ray Burst Detection. Rejoinder
by Kes Ward & Giuseppe Dilillo & Idris Eckley & Paul Fearnhead - 38-51 Evaluating Treatment Prioritization Rules via Rank-Weighted Average Treatment Effects
by Steve Yadlowsky & Scott Fleming & Nigam Shah & Emma Brunskill & Stefan Wager - 52-63 Bisection Grover’s Search Algorithm and Its Application in Analyzing CITE-seq Data
by Ping Ma & Yongkai Chen & Haoran Lu & Wenxuan Zhong - 64-79 Using Penalized Synthetic Controls on Truncated Data: A Case Study on Effect of Marijuana Legalization on Direct Payments to Physicians by Opioid Manufacturers
by Bikram Karmakar & Gourab Mukherjee & Wreetabrata Kar - 80-95 Spatial Modeling and Future Projection of Extreme Precipitation Extents
by Peng Zhong & Manuela Brunner & Thomas Opitz & Raphaël Huser - 96-106 Quantification of Vaccine Waning as a Challenge Effect
by Matias Janvin & Mats J. Stensrud - 107-119 Additive Covariance Matrix Models: Modeling Regional Electricity Net-Demand in Great Britain
by V. Gioia & M. Fasiolo & J. Browell & R. Bellio
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