Printed from https://ideas.repec.org/s/taf/jnlasa.html
Content
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 - 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