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

From Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

Access Statistics for this journal.
Is something missing from the series or not right? See the RePEc data check for the archive and series.

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 F. 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 B. 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