Journal of the American Statistical Association

Article	Citations
Analysis of Variance of Tensor Product Reproducing Kernel Hilbert Spaces on Metric Spaces	212
Coverage Properties of Empirical Bayes Intervals: A Discussion of “Confidence Intervals for Nonparametric Empirical Bayes Analysis” by Ignatiadis and Wager	80
Correction to “Modeling Time-Varying Random Objects and Dynamic Networks”	64
Classified Mixed Model Projections	47
Censored Interquantile Regression Model with Time-Dependent Covariates	44
The Effect of Alcohol Intake on Brain White Matter Microstructural Integrity: A New Causal Inference Framework for Incomplete Phenomic Data	38
Consistent least squares estimation in population-size-dependent branching processes	36
A Minimax Two-Sample Test for Functional Data via Grothendieck’s Divergence	36
A Semiparametric Inverse Reinforcement Learning Approach to Characterize Decision Making for Mental Disorders	36
Kernel Estimation of Bivariate Time-Varying Coefficient Model for Longitudinal Data with Terminal Event	34
Bayesian Conditional Transformation Models	32
Handbook of Bayesian, Fiducial, and Frequentist Inference	31
Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process	30
In Nonparametric and High-Dimensional Models, Bayesian Ignorability is an Informative Prior	29
U-Statistic Reduction: Higher-Order Accurate Risk Control and Statistical-Computational Trade-Off	27
On Robustness of Individualized Decision Rules	26
Frequency-Band Estimation of the Number of Factors*	25
Subspace Estimation with Automatic Dimension and Variable Selection in Sufficient Dimension Reduction	25
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	24
Posterior Predictive Design for Phase I Clinical Trials	22
Rejoinder: LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures	22
Rejoinder: Confidence Intervals for Nonparametric Empirical Bayes Analysis	22
Sparse Bayesian Multidimensional Item Response Theory	22
Rejoinder: A Scale-free Approach for False Discovery Rate Control in Generalized Linear Models	22
A Random Projection Approach to Hypothesis Tests in High-Dimensional Single-Index Models	21

Estimation and Variable Selection for Interval-Censored Failure Time Data with Random Change Point and Application to Breast Cancer Study	21
The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review	21
Coordinatewise Gaussianization: Theories and Applications	21
SPARCC: Semi-Parametric Robust Estimation in a Right-Censored Covariate Model	21
Inferring Causal Effect of a Digital Communication Strategy under a Latent Sequential Ignorability Assumption and Treatment Noncompliance	20
Theory of Statistical Inference	20
Soccer Analytics: An Introduction Using R	20
Enveloped Huber Regression	20
Node-Level Community Detection within Edge Exchangeable Models for Interaction Processes	19
Optimal Dynamic Treatment Regimes and Partial Welfare Ordering	18
Fairness in Machine Learning: A Review for Statisticians	18
Spectral Density Estimation for Nonstationary Data With Nonzero Mean Function	18
A factor-copula latent-vine time series model for extreme flood insurance losses	18
Covariance Estimation for Matrix-valued Data	18
Hypothesis Tests for Structured Rank Correlation Matrices	17
Distributional Outcome Regression via Quantile Functions and its Application to Modelling Continuously Monitored Heart Rate and Physical Activity	17
Reversible Jump PDMP Samplers for Variable Selection	17
Matching on Generalized Propensity Scores with Continuous Exposures	17
Comments on “Data Fission: Splitting a Single Data Point”	17
Two-Way Truncated Linear Regression Models with Extremely Thresholding Penalization	17
Covariate-Informed Latent Interaction Models: Addressing Geographic & Taxonomic Bias in Predicting Bird–Plant Interactions	17
Inference in High-Dimensional Multivariate Response Regression with Hidden Variables	17
Modeling the Extremes of Bivariate Mixture Distributions With Application to Oceanographic Data	17
Weighted Functional Data Analysis for the Calibration of a Ground Motion Model in Italy	17
Kernel Meets Sieve: Transformed Hazards Models with Sparse Longitudinal Covariates	16
Bayesian Landmark-Based Shape Analysis of Tumor Pathology Images	16
Statistical Analytics for Health Data Science with SAS and R	16
Dynamic Decision Making With Individualized Variable Selection	16
A Feasibility Study of Differentially Private Summary Statistics and Regression Analyses with Evaluations on Administrative and Survey Data	16
Improved Bounds and Inference on Optimal Regimes	16
Comment on: “Confidence Intervals for Nonparametric Empirical Bayes Analysis” by Ignatiadis and Wager	15
Testing Directed Acyclic Graph via Structural, Supervised and Generative Adversarial Learning	15
Efficient Estimation for Censored Quantile Regression	15
Efficient Estimation in the Fine and Gray Model	15
Understanding Inequalities in Cancer Survival Using Bayesian Machine Learning	15
Conformal Prediction for Network-Assisted Regression	14
eDNAPlus: A Unifying Modeling Framework for DNA-based Biodiversity Monitoring	14
Graphical Principal Component Analysis of Multivariate Functional Time Series	14
Network Varying Coefficient Model	14
Model-Based Machine Learning	14
Inference on the Proportion of Variance Explained in Principal Component Analysis	14
Statistical Prediction and Machine Learning	14
CARE: Large Precision Matrix Estimation for Compositional Data	14
A Unified Inference for Predictive Quantile Regression	14
Models for Multi-State Survival Data: Rates, Risks, and Pseudo-Values	13
Large-Scale Low-Rank Gaussian Process Prediction with Support Points	13
On the Comparative Analysis of Average Treatment Effects Estimation via Data Combination	13
Generalized Bayesian Additive Regression Trees Models: Beyond Conditional Conjugacy	13
Rejoinder	13
Robust Leave-One-Out Cross-Validation for High-Dimensional Bayesian Models	13

Discussion of “LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures”	13
Doubly Flexible Estimation under Label Shift	12
Minimum Resource Threshold Policy Under Partial Interference	12
Financial Data Analytics with R: Monte-Carlo Validation	12
On a class of Sobolev tests for symmetry, their detection thresholds, and asymptotic powers	12
Accelerating Bayesian Structure Learning in Sparse Gaussian Graphical Models	12
Hypotheses Testing from Complex Survey Data Using Bootstrap Weights: A Unified Approach	12
On Semiparametrically Dynamic Functional-Coefficient Autoregressive Spatio-Temporal Models with Irregular Location Wide Nonstationarity	12
Assessing the Most Vulnerable Subgroup to Type II Diabetes Associated with Statin Usage: Evidence from Electronic Health Record Data	12
Asymptotic Distribution-Free Independence Test for High-Dimension Data	12
Estimating Heterogeneous Exposure Effects in the Case-Crossover Design Using BART	12
Data Fusion Using Weakly Aligned Sources	12
A Likelihood-Based Approach for Multivariate Categorical Response Regression in High Dimensions	11
Spatial Variation on Multiple Scales in Line Transect Data; the Case of Antarctic Fin Whales	11
Discussion of “Data Fission: Splitting a Single Data Point” – Some Asymptotic Results for Data Fission	11
Graph-Aligned Random Partition Model (GARP)	11
Estimating the Spectral Density at Frequencies Near Zero	11
Deep Regression for Repeated Measurements	11
Joint Spectral Clustering in Multilayer Degree-Corrected Stochastic Blockmodels	11
Group Network Hawkes Process	11
Crowdsourcing Utilizing Subgroup Structure of Latent Factor Modeling	11
Optimal run order for order-of-addition experiments	11
A Discussion on: “Data Fission: Splitting a Single Data Point” by Leiner, J., Duan, B., Wasserman, L. and Ramdas, A.	11
Random effects model-based sufficient dimension reduction for independent clustered data	11
Do We Exploit all Information for Counterfactual Analysis? Benefits of Factor Models and Idiosyncratic Correction	11
Asymmetric Error Control Under Imperfect Supervision: A Label-Noise-Adjusted Neyman–Pearson Umbrella Algorithm	11
Efficient Multimodal Sampling via Tempered Distribution Flow	11
Chain-Linked Multiple Matrix Integration via Embedding Alignment	11
Probability Modeling and Statistical Inference in Cancer Screening	11
Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes	11
Inference for High-Dimensional Exchangeable Arrays	11
Bayesian Nonparametric Common Atoms Regression for Generating Synthetic Controls in Clinical Trials	10
Causal Inference for Social Network Data	10
Divide-and-Conquer: A Distributed Hierarchical Factor Approach to Modeling Large-Scale Time Series Data	10
Testing Mutually Exclusive Hypotheses for Multi-Response Regressions	10
Rate-Optimal Rank Aggregation with Private Pairwise Rankings	10
Higher-Order Accurate Two-Sample Network Inference and Network Hashing	10
Spatial Statistics for Data Science: Theory and Practice with R.,	10
Classification Trees for Imbalanced Data: Surface-to-Volume Regularization	10
Functional Mixed Effects Clustering with Application to Longitudinal Urologic Chronic Pelvic Pain Syndrome Symptom Data	10
Off-Policy Evaluation in Doubly Inhomogeneous Environments	10
An Additive Graphical Model for Discrete Data	10
Estimation and Inference of Extremal Quantile Treatment Effects for Heavy-Tailed Distributions	10
Network Inference Using the Hub Model and Variants	9
Online Policy Learning and Inference by Matrix Completion	9
Natural Gradient Variational Bayes Without Fisher Matrix Analytic Calculation and Its Inversion	9
Differentially Private Sliced Inverse Regression: Minimax Optimality and Algorithm	9
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	9
Comments on “Measuring Housing Vitality from Multi-Source Big Data and Machine Learning”	9
Policy Learning with Distributional Welfare	9
Bayesian Spatial Blind Source Separation via the Thresholded Gaussian Process	9
Bias Control for M-quantile-based Small Area Estimators	9
Statistical Modeling with R: A Dual Frequentist and Bayesian Approach for Life Scientists	9
Bayesian Edge Regression in Undirected Graphical Models to Characterize Interpatient Heterogeneity in Cancer	9
Posterior risk of modular and semi-modular Bayesian inference	9
Statistical Inference For Noisy Matrix Completion Incorporating Auxiliary Information	9
Rejective Sampling, Rerandomization, and Regression Adjustment in Survey Experiments	9
Capture-Recapture Models with Heterogeneous Temporary Emigration	8
A Multimodal Multilevel Neuroimaging Model for Investigating Brain Connectome Development	8
Scaled Process Priors for Bayesian Nonparametric Estimation of the Unseen Genetic Variation	8
A Deep Generative Approach to Conditional Sampling	8
Statistical Inference with Local Optima	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
Factor Augmented Sparse Throughput Deep ReLU Neural Networks for High Dimensional Regression	8
ℓ 1 -based Bayesian Ideal Point Model for Multidimensional Politics	8
Unified Unconditional Regression for Multivariate Quantiles, M-Quantiles, and Expectiles	8
Robustifying Likelihoods by Optimistically Re-weighting Data	8
A Decorrelating and Debiasing Approach to Simultaneous Inference for High-Dimensional Confounded Models	8
Dynamic Treatment Regimes: Statistical Methods for Precision Medicine	8
Confidently Comparing Estimates with the c-value	8
Recommender Systems: A Review	8
Structural Equation Modeling Using R/SAS: A Step-by-Step Approach with Real Data Analysis	8
Factor Augmented Inverse Regression and its Application to Microbiome Data Analysis	8
A Novel Approach of High Dimensional Linear Hypothesis Testing Problem	8
Estimation and Inference of Quantile Spatially Varying Coefficient Models Over Complicated Domains	8
Community Detection in General Hypergraph Via Graph Embedding	8
Generalized Linear Mixed Models: Modern Concepts, Methods and Applications, 2nd ed.	8
Exact Decoding of a Sequentially Markov Coalescent Model in Genetics	8
Estimation of Copulas via Maximum Mean Discrepancy	8
On the Poor Statistical Properties of the P -Curve Meta-Analytic Procedure	8

On a Notion of Graph Centrality Based on L 1 Data Depth	8
High-Dimensional Time Series Segmentation via Factor-Adjusted Vector Autoregressive Modeling	7
Deep Mutual Density Ratio Estimation with Bregman Divergence and Its Applications	7
Robust Regression with Covariate Filtering: Heavy Tails and Adversarial Contamination	7
Manipulating an Instrumental Variable in an Observational Study of Premature Babies: Design, Bounds, and Inference	7
Nonparametric Multiple-Output Center-Outward Quantile Regression	7
Quantification of Vaccine Waning as a Challenge Effect	7
Ranking Inferences Based on the Top Choice of Multiway Comparisons	7
Learning with the Minimum Description Length Principle.	7
Conditional probability tensor decompositions for multivariate categorical response regression	7
PCABM: Pairwise Covariates-Adjusted Block Model for Community Detection	7
Correction to: Semiparametric Inference for Non-monotone Missing-Not-at-Random Data: the No Self-Censoring Model	7
Enhanced Response Envelope via Envelope Regularization	7
Fast Network Community Detection With Profile-Pseudo Likelihood Methods	7
High-Order Joint Embedding for Multi-Level Link Prediction	7
Deep Fréchet Regression	7
Blessing from Human-AI Interaction: Super Policy Learning in Confounded Environments	7
Permutation Tests at Nonparametric Rates	7
Estimation and Inference for Nonparametric Expected Shortfall Regression over RKHS	7
High-Dimensional Knockoffs Inference for Time Series Data	7
Inference in Heavy-Tailed Nonstationary Multivariate Time Series	7
Discovery and Inference of a Causal Network with Hidden Confounding	7
Test of Weak Separability for Spatially Stationary Functional Field	7
Statistical Inference for Hüsler–Reiss Graphical Models Through Matrix Completions	7
When Frictions Are Fractional: Rough Noise in High-Frequency Data	7
Compositional Graphical Lasso Resolves the Impact of Parasitic Infection on Gut Microbial Interaction Networks in a Zebrafish Model	7
A Wasserstein Index of Dependence for Random Measures	7
Graphical Model Inference with Erosely Measured Data	6
False Discovery Rate Control via Data Splitting	6
Statistical Learning for Individualized Asset Allocation	6
Monte Carlo Inference for Semiparametric Bayesian Regression	6
Inference for Dispersion and Curvature of Random Objects	6
Bayesian Inference Using the Proximal Mapping: Uncertainty Quantification Under Varying Dimensionality	6
Estimating Higher-Order Mixed Memberships via the l2,∞ Tensor Perturbation Bound	6
Semi-Supervised Triply Robust Inductive Transfer Learning	6
Testing Simultaneous Diagonalizability	6
Controlled Epidemiological Studies	6
Efficient Distributed Learning over Decentralized Networks with Convoluted Support Vector Machine	6
Ridge Regression Under Dense Factor Augmented Models	6
Handbook of Matching and Weighting Adjustments for Causal Inference	6
Discussion of “Confidence Intervals for Nonparametric Empirical Bayes Analysis”	6
Optimal Nonparametric Inference with Two-Scale Distributional Nearest Neighbors	6
Conditional Separable Effects	6
Skeleton Clustering: Dimension-Free Density-Aided Clustering	6
Mapping the Genetic-Imaging-Clinical Pathway with Applications to Alzheimer’s Disease	6
Fast Approximation of the Shapley Values Based on Order-of-Addition Experimental Designs	6
Fair Coins Tend to Land on the Same Side They Started: Evidence from 350,757 Flips	6
An Efficient Coalescent Model for Heterochronously Sampled Molecular Data	6
Sparse Graphical Modeling for High Dimensional Data: A Paradigm of Conditional Independence Tests	6
Accommodating Time-Varying Heterogeneity in Risk Estimation under the Cox Model: A Transfer Learning Approach	6
Bayesian Bootstrap Spike-and-Slab LASSO	6
Neural Networks for Geospatial Data	6
Efficient Stochastic Generators with Spherical Harmonic Transformation for High-Resolution Global Climate Simulations from CESM2-LENS2	6
New Estimands for Experiments with Strong Interference	5
Rejoinder	5
GeoWarp: Warped Spatial Processes for Inferring Subsea Sediment Properties	5
Design-Based Causal Inference with Missing Outcomes: Missingness Mechanisms, Imputation-Assisted Randomization Tests, and Covariate Adjustment	5
Semi-Distance Correlation and Its Applications	5
Testing Elliptical Models in High Dimensions	5
Reinforcement Learning in Latent Heterogeneous Environments	5
A Bayesian Nonparametric Approach to Mediation and Spillover Effects with Multiple Mediators in Cluster-Randomized Trials	5
Understanding Implicit Regularization in Over-Parameterized Single Index Model	5
Distribution of Distances based Object Matching: Asymptotic Inference	5
Learning Topic Models: Identifiability and Finite-Sample Analysis	5
Neyman-Pearson Multi-Class Classification via Cost-Sensitive Learning	5
Dynamic Matrix Recovery	5
Discussion of “Measuring Housing Vitality from Multi-Source Big Data and Machine Learning”	5
Kernel Spectral Joint Embeddings for High-Dimensional Noisy Datasets Using Duo-Landmark Integral Operators	5
Tests for Large-Dimensional Shape Matrices via Tyler’s M Estimators	5
When does bottom-up beat top-down in hierarchical community detection?	5
Degree-Heterogeneous Latent Class Analysis for High-Dimensional Discrete Data	5
Checking the Cox Proportional Hazards Model with Interval-Censored Data	5
Combining Broad and Narrow Case Definitions in Matched Case-Control Studies: Firearms in the Home and Suicide Risk	5
Network Structure Learning Under Uncertain Interventions	5
Hub Detection in Gaussian Graphical Models	5
Cohesion and Repulsion in Bayesian Distance Clustering	5
Partially Exchangeable Stochastic Block Models for (Node-Colored) Multilayer Networks	5
Operationalizing Legislative Bodies: A Methodological and Empirical Perspective with a Bayesian Approach	5
Discussion of “A Tale of Two Datasets: Representativeness and Generalisability of Inference for Samples of Networks”	5
Fundamentals of Causal Inference: With R	4
Discussion of “Data Fission: Splitting a Single Data Point”	4
Extreme Value Statistics in Semi-Supervised Models	4
Model-Based Clustering of Categorical Data Based on the Hamming Distance	4
Sampling: Design and Analysis, 3rd ed.	4
Assessing Disparities in Americans’ Exposure to PCBs and PBDEs based on NHANES Pooled Biomonitoring Data	4
Doubly Robust Interval Estimation for Optimal Policy Evaluation in Online Learning	4
Testing the Number of Common Factors by Bootstrapped Sample Covariance Matrix in High-Dimensional Factor Models	4
Copula Modeling of Serially Correlated Multivariate Data with Hidden Structures	4
Hypothesis Testing for a Functional Parameter via Self-Normalization	4
Impact of existence and nonexistence of pivot on the coverage of empirical best linear prediction intervals for small areas	4
Comments on “Data Fission: Splitting a Single Data Point” by James Leiner, Boyan Duan, Larry Wasserman, and Aaditya Ramdas	4
Sobolev Calibration of Imperfect Computer Models	4
Approximate Selective Inference via Maximum Likelihood	4
A Bias-Accuracy-Privacy Trilemma for Statistical Estimation	4
Mixed-Response State-Space Model for Analyzing Multi-Dimensional Digital Phenotypes	4