Journal of the American Statistical Association

Article	Citations
Coverage Properties of Empirical Bayes Intervals: A Discussion of “Confidence Intervals for Nonparametric Empirical Bayes Analysis” by Ignatiadis and Wager	311
Classified Mixed Model Projections	112
Kernel Estimation of Bivariate Time-Varying Coefficient Model for Longitudinal Data with Terminal Event	73
Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process	56
Totally Concave Regression	43
Correction to “Modeling Time-Varying Random Objects and Dynamic Networks”	41
A Latent Variable Approach to Learning High-Dimensional Multivariate Longitudinal Data	41
Bayesian Conditional Transformation Models	39
Inside-out cross-covariance for spatial multivariate data	39
U-Statistic Reduction: Higher-Order Accurate Risk Control and Statistical-Computational Trade-Off	37
Analysis of Variance of Tensor Product Reproducing Kernel Hilbert Spaces on Metric Spaces	36
Handbook of Bayesian, Fiducial, and Frequentist Inference	33
Frequency-Band Estimation of the Number of Factors	33
Sequential Knockoffs for Variable Selection in Reinforcement Learning	32
A Semiparametric Inverse Reinforcement Learning Approach to Characterize Decision Making for Mental Disorders	30
Successive classification learning for estimating quantile optimal treatment regimes	30
Network Regression and Supervised Centrality Estimation	29
Consistent Least Squares Estimation in Population-Size-Dependent Branching Processes	28
A Minimax Two-Sample Test for Functional Data via Grothendieck’s Divergence	27
Exploration, Confirmation, and Replication in the Same Observational Study: A Two Team Cross-Screening Approach to Studying the Effect of Unwanted Pregnancy on Mothers’ Later Life Outcomes	26
Subspace Estimation with Automatic Dimension and Variable Selection in Sufficient Dimension Reduction	26
The Effect of Alcohol Intake on Brain White Matter Microstructural Integrity: A New Causal Inference Framework for Incomplete Phenomic Data	26
Scalable and Robust Regression Models for Continuous Proportional Data	26
In Nonparametric and High-Dimensional Models, Bayesian Ignorability is an Informative Prior	23
Modern Applied Regressions: Bayesian and Frequentist Analysis of Categorical and Limited Response variables with R and StanModern Applied Regressions: Bayesian and Frequentist Analysis of Categorical	22

Censored Interquantile Regression Model with Time-Dependent Covariates	22
Rejoinder: LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures	21
Rejoinder: A Scale-free Approach for False Discovery Rate Control in Generalized Linear Models	21
A Random Projection Approach to Hypothesis Tests in High-Dimensional Single-Index Models	20
Inference in High-Dimensional Multivariate Response Regression with Hidden Variables	20
The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review	20
Fairness in Machine Learning: A Review for Statisticians	20
Rejoinder: Confidence Intervals for Nonparametric Empirical Bayes Analysis	20
Sparse Bayesian Multidimensional Item Response Theory	20
Translating Predictive Distributions into Informative Priors	19
Enveloped Huber Regression	19
Conformal prediction after data-dependent model selection	19
Covariate-Informed Latent Interaction Models: Addressing Geographic & Taxonomic Bias in Predicting Bird–Plant Interactions	19
Theory of Statistical Inference	19
Reversible Jump PDMP Samplers for Variable Selection	18
Two-Way Truncated Linear Regression Models with Extremely Thresholding Penalization	18
Comments on “Data Fission: Splitting a Single Data Point”	18
Localized Sparse Principal Component Analysis of Multivariate Time Series in the Frequency Domain	18
Inferring Causal Effect of a Digital Communication Strategy under a Latent Sequential Ignorability Assumption and Treatment Noncompliance	17
Posterior Predictive Design for Phase I Clinical Trials	17
Node-Level Community Detection within Edge Exchangeable Models for Interaction Processes	17
Soccer Analytics: An Introduction Using R	17
SPARCC: Semi-Parametric Robust Estimation in a Right-Censored Covariate Model	17
Distributional Outcome Regression via Quantile Functions and its Application to Modelling Continuously Monitored Heart Rate and Physical Activity	16
Optimal Dynamic Treatment Regimes and Partial Welfare Ordering	16
A Factor-Copula Latent-Vine Time Series Model for Extreme Flood Insurance Losses	16
Hypothesis Tests for Structured Rank Correlation Matrices	16
Discussion of “LAMBDA: Large Model Based Data Agent”	16
Statistical Analytics for Health Data Science with SAS and R	15
Comment on: “Confidence Intervals for Nonparametric Empirical Bayes Analysis” by Ignatiadis and Wager	15
Matching on Generalized Propensity Scores with Continuous Exposures	15
Bayesian Landmark-Based Shape Analysis of Tumor Pathology Images	15
Estimation and Variable Selection for Interval-Censored Failure Time Data with Random Change Point and Application to Breast Cancer Study	15
Structured Conformal Inference for Matrix Completion with Applications to Group Recommender Systems	14
Robust Leave-One-Out Cross-Validation for High-Dimensional Bayesian Models	14
Statistical Prediction and Machine Learning	14
Generalized Bayesian Additive Regression Trees Models: Beyond Conditional Conjugacy	14
A Unified Inference for Predictive Quantile Regression	14
Dynamic Decision Making With Individualized Variable Selection	14
Factorial Difference-in-Differences*	13
eDNAPlus: A Unifying Modeling Framework for DNA-based Biodiversity Monitoring	13
Bayesian Nonparametric Quasi Likelihood	13
Kernel Meets Sieve: Transformed Hazards Models with Sparse Longitudinal Covariates	13
Model-Based Machine Learning	13
On the Comparative Analysis of Average Treatment Effects Estimation via Data Combination	13
Testing Directed Acyclic Graph via Structural, Supervised and Generative Adversarial Learning	13
Efficient Estimation for Censored Quantile Regression	13
A Feasibility Study of Differentially Private Summary Statistics and Regression Analyses with Evaluations on Administrative and Survey Data	13
Low-Rank Online Dynamic Assortment with Dual Contextual Information	13
Network Varying Coefficient Model	13

Graphical Principal Component Analysis of Multivariate Functional Time Series	12
CARE: Large Precision Matrix Estimation for Compositional Data	12
Causality-Oriented Robustness: Exploiting General Noise Interventions	12
Weighted Functional Data Analysis for the Calibration of a Ground Motion Model in Italy	12
Inference on the Proportion of Variance Explained in Principal Component Analysis	12
Conformal Prediction for Network-Assisted Regression	12
Improved Bounds and Inference on Optimal Regimes	12
Understanding Inequalities in Cancer Survival Using Bayesian Machine Learning	12
Discussion of “LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures”	11
Large-Scale Low-Rank Gaussian Process Prediction with Support Points	11
Introduction to Quantitative Social Science with Python	11
Differentially Private Permutation Tests	11
Models for Multi-State Survival Data: Rates, Risks, and Pseudo-Values	11
Hypotheses Testing from Complex Survey Data Using Bootstrap Weights: A Unified Approach	11
Financial Data Analytics with R: Monte-Carlo Validation	11
Minimum Resource Threshold Policy Under Partial Interference	11
Estimating Heterogeneous Exposure Effects in the Case-Crossover Design Using BART	11
Doubly Flexible Estimation under Label Shift	11
On Semiparametrically Dynamic Functional-Coefficient Autoregressive Spatio-Temporal Models with Irregular Location Wide Nonstationarity	11
Hyperbolic Network Latent Space Model with Learnable Curvature	11
Optimal Differentially Private Ranking from Pairwise Comparisons	11
Assessing the Most Vulnerable Subgroup to Type II Diabetes Associated with Statin Usage: Evidence from Electronic Health Record Data	10
Data Fusion Using Weakly Aligned Sources	10
An efficient Monte Carlo method for valid prior-free possibilistic statistical inference	10
Graph-Aligned Random Partition Model (GARP)	10
Efficient Multimodal Sampling via Tempered Distribution Flow	10
Joint Spectral Clustering in Multilayer Degree-Corrected Stochastic Blockmodels	10
Group Network Hawkes Process	10
Discussion of “Data Fission: Splitting a Single Data Point” – Some Asymptotic Results for Data Fission	10
Estimating the Spectral Density at Frequencies Near Zero	10
A Discussion on: “Data Fission: Splitting a Single Data Point” by Leiner, J., Duan, B., Wasserman, L. and Ramdas, A.	10
On a Class of Sobolev Tests for Symmetry, their Detection Thresholds, and Asymptotic Powers	10
Asymptotic Distribution-Free Independence Test for High-Dimension Data	10
Robust Microbial Signature Discovery via Post-Selection Inference for Microbiome Compositions	10
Probability Modeling and Statistical Inference in Cancer Screening	10
Optimal Run Order for Order-of-Addition Experiments	10
Off-Policy Evaluation in Doubly Inhomogeneous Environments	9
Bayesian Nonparametric Common Atoms Regression for Generating Synthetic Controls in Clinical Trials	9
Spatial Variation on Multiple Scales in Line Transect Data; the Case of Antarctic Fin Whales	9
Individualized Dynamic Mediation Analysis Using Latent Factor Models	9
Comments on “Measuring Housing Vitality from Multi-Source Big Data and Machine Learning”	9
Theory for Identification and Inference with Synthetic Controls: A Proximal Causal Inference Framework	9
Random Effects Model-Based Sufficient Dimension Reduction for Independent Clustered Data	9
Causal Inference for Social Network Data	9
Spatial Statistics for Data Science: Theory and Practice with R.,	9
Higher-Order Accurate Two-Sample Network Inference and Network Hashing	9
An Additive Graphical Model for Discrete Data	9
Scalable Bayesian Image-on-Scalar Regression for Population-Scale Neuroimaging Data Analysis	9
Estimation and Inference of Extremal Quantile Treatment Effects for Heavy-Tailed Distributions	9
Chain-Linked Multiple Matrix Integration via Embedding Alignment	9
Crowdsourcing Utilizing Subgroup Structure of Latent Factor Modeling	9
Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes	9
Deep Regression for Repeated Measurements	9
Differentially Private Sliced Inverse Regression: Minimax Optimality and Algorithm	9
Rate-Optimal Rank Aggregation with Private Pairwise Rankings	9
Stationarity of Manifold Time Series	9
Generalized Linear Mixed Models: Modern Concepts, Methods and Applications, 2nd ed.	8
Posterior Risk of Modular and Semi-Modular Bayesian Inference	8
Power and Multicollinearity in Small Networks: A Discussion of “Tale of Two Datasets: Representativeness and Generalisability of Inference for Samples of Networks” by Krivitsky, Coletti, and Hens	8
Statistical Inference For Noisy Matrix Completion Incorporating Auxiliary Information	8
Discussion of “A Tale of Two Datasets: Representativeness and Generalisability of Inference for Samples of Networks” by Pavel N. Krivitsky, Pietro Coletti, and Niel Hens	8
Learning When the Concept Shifts: Confounding, Invariance, and Dimension Reduction	8
Estimation and Inference of Quantile Spatially Varying Coefficient Models Over Complicated Domains	8
Confidently Comparing Estimates with the c-value	8
Robustifying Likelihoods by Optimistically Re-weighting Data	8
Scalable Estimation of Multinomial Response Models with Random Consideration Sets	8
Natural Gradient Variational Bayes Without Fisher Matrix Analytic Calculation and Its Inversion	8
Testing Mutually Exclusive Hypotheses for Multi-Response Regressions	8
Bias Control for M-Quantile-Based Small Area Estimators	8
Policy Learning with Distributional Welfare	8
Online Policy Learning and Inference by Matrix Completion	8
Belted and Ensembled Neural Network for Linear and Nonlinear Sufficient Dimension Reduction	8
A Statistician’s Overview of Physics-Informed Neural Networks for Spatio-Temporal Data	8
Network Inference Using the Hub Model and Variants	8
Bayesian Spatial Blind Source Separation via the Thresholded Gaussian Process	8
Scaled Process Priors for Bayesian Nonparametric Estimation of the Unseen Genetic Variation	8
Statistical Modeling with R: A Dual Frequentist and Bayesian Approach for Life Scientists	8
A Decorrelating and Debiasing Approach to Simultaneous Inference for High-Dimensional Confounded Models	8
Discussion of “LAMBDA: A Large Model Based Data Agent”	8
Tail Risk in the Tail: Estimating High Quantiles When a Related Variable is Extreme	7

Exact Decoding of a Sequentially Markov Coalescent Model in Genetics	7
Systemic and Systematic Risks-Driven Marginal Expected Side-effect	7
Capture-Recapture Models with Heterogeneous Temporary Emigration	7
Deep Fréchet Regression	7
Factor Augmented Sparse Throughput Deep ReLU Neural Networks for High Dimensional Regression	7
Ranking Inferences Based on the Top Choice of Multiway Comparisons	7
Factor Augmented Inverse Regression and its Application to Microbiome Data Analysis	7
ℓ 1 -based Bayesian Ideal Point Model for Multidimensional Politics	7
Unified Unconditional Regression for Multivariate Quantiles, M-Quantiles, and Expectiles	7
Recommender Systems: A Review	7
A Novel Approach of High Dimensional Linear Hypothesis Testing Problem	7
On the Poor Statistical Properties of the P -Curve Meta-Analytic Procedure	7
Structural Equation Modeling Using R/SAS: A Step-by-Step Approach with Real Data Analysis	7
Contextual Dynamic Pricing: Algorithms, Optimality, and Local Differential Privacy Constraints	7
Cluster Quilting: Spectral Clustering for Patchwork Learning	7
When Frictions Are Fractional: Rough Noise in High-Frequency Data	7
Quantification of Vaccine Waning as a Challenge Effect	7
Inference in Heavy-Tailed Nonstationary Multivariate Time Series	6
Genetically Informed Brain Parcellation Through Structured Multi-Task Modeling	6
Permutation Tests at Nonparametric Rates	6
Manipulating an Instrumental Variable in an Observational Study of Premature Babies: Design, Bounds, and Inference	6
High-Dimensional Knockoffs Inference for Time Series Data	6
Bayesian Signal Matching for Transfer Learning in ERP-Based Brain Computer Interface	6
On a Notion of Graph Centrality Based on L 1 Data Depth	6
Nonparametric Multiple-Output Center-Outward Quantile Regression	6
Covariate-Adjusted Response-Adaptive Design with Delayed Outcomes	6
Conditional Probability Tensor Decompositions for Multivariate Categorical Response Regression	6
Enhanced Response Envelope via Envelope Regularization	6
Statistical Inference for Hüsler–Reiss Graphical Models Through Matrix Completions	6
Compositional Graphical Lasso Resolves the Impact of Parasitic Infection on Gut Microbial Interaction Networks in a Zebrafish Model	6
Differentially Private Sliced Inverse Regression in the Federated Paradigm	6
Robust Regression with Covariate Filtering: Heavy Tails and Adversarial Contamination	6
A Wasserstein Index of Dependence for Random Measures	6
High-Dimensional Time Series Segmentation via Factor-Adjusted Vector Autoregressive Modeling	6
Discovery and Inference of a Causal Network with Hidden Confounding	6
Clustering Social Media Users Using Categorical-Valued Functional Data Analysis	6
Blessing from Human-AI Interaction: Super Policy Learning in Confounded Environments	6
Deep Mutual Density Ratio Estimation with Bregman Divergence and Its Applications	6
Subtype-Aware Registration of Longitudinal Electronic Health Records	6
Toward Interpretable Deep Generative Models via Causal Representation Learning	6
PCABM: Pairwise Covariates-Adjusted Block Model for Community Detection	6
Fast Approximation of the Shapley Values Based on Order-of-Addition Experimental Designs	5
An Efficient Coalescent Model for Heterochronously Sampled Molecular Data	5
Optimizing Sequential Decision Rules for Prostate Cancer Biopsy Management: A Multi-Objective Statistical Framework	5
Adapting to Noise Tails in Private Linear Regression	5
Operationalizing Legislative Bodies: A Methodological and Empirical Perspective with a Bayesian Approach	5
Semi-Supervised Triply Robust Inductive Transfer Learning	5
Power of the lack-of-fit test in designed experiments: Guidance on sample size and the distribution of replicates	5
Heterogeneous Gene Network Estimation for Single-Cell Transcriptomic Data via a Joint Regularized Deep Neural Network	5
Estimating Higher-Order Mixed Memberships via the l2,∞ Tensor Perturbation Bound	5
Monte Carlo Inference for Semiparametric Bayesian Regression	5
Sparse Graphical Modeling for High Dimensional Data: A Paradigm of Conditional Independence Tests	5
Learning with the Minimum Description Length Principle	5
Conditional Separable Effects	5
Fast and Flexible Emulation of Spatial Extremes Processes via Variational Autoencoders	5
Controlled Epidemiological Studies	5
Graphical Model Inference with Erosely Measured Data	5
Neural Networks for Geospatial Data	5
Efficient Distributed Learning over Decentralized Networks with Convoluted Support Vector Machine	5
Mini-batch Estimation for Deep Cox Models: Statistical Foundations and Practical Guidance	5
Estimation and Inference for Nonparametric Expected Shortfall Regression over RKHS	5
Optimal Nonparametric Inference with Two-Scale Distributional Nearest Neighbors	5
Bayesian Inference Using the Proximal Mapping: Uncertainty Quantification Under Varying Dimensionality	5
An Implementation-Friendly Model-Agnostic Approach for Process Data Analysis	5
Inference for Dispersion and Curvature of Random Objects	5
Efficient Stochastic Generators with Spherical Harmonic Transformation for High-Resolution Global Climate Simulations from CESM2-LENS2	5
Partially Exchangeable Stochastic Block Models for (Node-Colored) Multilayer Networks	5
Scalable calibration of individual-based epidemic models through categorical approximations	5
Accommodating Time-Varying Heterogeneity in Risk Estimation under the Cox Model: A Transfer Learning Approach	5
Spatial Scale-Aware Tail Dependence Modeling for High-Dimensional Spatial Extremes	5
Ridge Regression Under Dense Factor Augmented Models	5
Fair Coins Tend to Land on the Same Side They Started: Evidence from 350,757 Flips	5
Nonparametric Bootstrap Inference for the Eigenvalues of Geophysical Tensors	5
Handbook of Matching and Weighting Adjustments for Causal Inference	5
Discussion of “Confidence Intervals for Nonparametric Empirical Bayes Analysis”	5