Journal of the American Statistical Association

Article	Citations
Analysis of Variance of Tensor Product Reproducing Kernel Hilbert Spaces on Metric Spaces	202
Coverage Properties of Empirical Bayes Intervals: A Discussion of “Confidence Intervals for Nonparametric Empirical Bayes Analysis” by Ignatiadis and Wager	78
Correction to “Modeling Time-Varying Random Objects and Dynamic Networks”	62
Classified Mixed Model Projections	43
Censored Interquantile Regression Model with Time-Dependent Covariates	43
In Nonparametric and High-Dimensional Models, Bayesian Ignorability is an Informative Prior	41
The Effect of Alcohol Intake on Brain White Matter Microstructural Integrity: A New Causal Inference Framework for Incomplete Phenomic Data	38
Frequency-Band Estimation of the Number of Factors*	36
Consistent least squares estimation in population-size-dependent branching processes	36
Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process	35
A Semiparametric Inverse Reinforcement Learning Approach to Characterize Decision Making for Mental Disorders	34
Kernel Estimation of Bivariate Time-Varying Coefficient Model for Longitudinal Data with Terminal Event	31
Subspace Estimation with Automatic Dimension and Variable Selection in Sufficient Dimension Reduction	30
A Minimax Two-Sample Test for Functional Data via Grothendieck’s Divergence	28
U-Statistic Reduction: Higher-Order Accurate Risk Control and Statistical-Computational Trade-Off	26
Handbook of Bayesian, Fiducial, and Frequentist Inference	24
Bayesian Conditional Transformation Models	24
On Robustness of Individualized Decision Rules	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
Sparse Bayesian Multidimensional Item Response Theory	22
Rejoinder: LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures	21
Hypothesis Tests for Structured Rank Correlation Matrices	21
Rejoinder: A Scale-free Approach for False Discovery Rate Control in Generalized Linear Models	21
Posterior Predictive Design for Phase I Clinical Trials	21
Rejoinder: Confidence Intervals for Nonparametric Empirical Bayes Analysis	21

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

Minimum Resource Threshold Policy Under Partial Interference	12
GEE-Assisted Variable Selection for Latent Variable Models with Multivariate Binary Data	12
Joint Spectral Clustering in Multilayer Degree-Corrected Stochastic Blockmodels	12
Discussion of “LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures”	12
Assessing the Most Vulnerable Subgroup to Type II Diabetes Associated with Statin Usage: Evidence from Electronic Health Record Data	12
On a class of Sobolev tests for symmetry, their detection thresholds, and asymptotic powers	12
Group Network Hawkes Process	12
On Semiparametrically Dynamic Functional-Coefficient Autoregressive Spatio-Temporal Models with Irregular Location Wide Nonstationarity	12
Estimating Heterogeneous Exposure Effects in the Case-Crossover Design Using BART	11
Asymptotic Distribution-Free Independence Test for High-Dimension Data	11
Matching One Sample According to Two Criteria in Observational Studies	11
Is a Classification Procedure Good Enough?—A Goodness-of-Fit Assessment Tool for Classification Learning	11
Hypotheses Testing from Complex Survey Data Using Bootstrap Weights: A Unified Approach	11
Financial Data Analytics with R: Monte-Carlo Validation	11
Do We Exploit all Information for Counterfactual Analysis? Benefits of Factor Models and Idiosyncratic Correction	11
Optimal Simulator Selection	11
Accelerating Bayesian Structure Learning in Sparse Gaussian Graphical Models	11
A Likelihood-Based Approach for Multivariate Categorical Response Regression in High Dimensions	11
Functional Mixed Effects Clustering with Application to Longitudinal Urologic Chronic Pelvic Pain Syndrome Symptom Data	11
Large-Scale Low-Rank Gaussian Process Prediction with Support Points	11
Data Fusion Using Weakly Aligned Sources	11
Asymmetric Error Control Under Imperfect Supervision: A Label-Noise-Adjusted Neyman–Pearson Umbrella Algorithm	11
Inference for High-Dimensional Exchangeable Arrays	11
Crowdsourcing Utilizing Subgroup Structure of Latent Factor Modeling	11
Optimal run order for order-of-addition experiments	10
Efficient Multimodal Sampling via Tempered Distribution Flow	10
Graph-Aligned Random Partition Model (GARP)	10
Deep Regression for Repeated Measurements	10
Random effects model-based sufficient dimension reduction for independent clustered data	10
Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes	10
Probability Modeling and Statistical Inference in Cancer Screening	10
Discussion of “Data Fission: Splitting a Single Data Point” – Some Asymptotic Results for Data Fission	10
Chain-Linked Multiple Matrix Integration via Embedding Alignment	10
Spatial Variation on Multiple Scales in Line Transect Data; the Case of Antarctic Fin Whales	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
Divide-and-Conquer: A Distributed Hierarchical Factor Approach to Modeling Large-Scale Time Series Data	9
An Additive Graphical Model for Discrete Data	9
Estimation and Inference of Extremal Quantile Treatment Effects for Heavy-Tailed Distributions	9
Bayesian Spatial Blind Source Separation via the Thresholded Gaussian Process	9
Network Inference Using the Hub Model and Variants	9
Bayesian Nonparametric Common Atoms Regression for Generating Synthetic Controls in Clinical Trials	9
Causal Inference for Social Network Data	9
Rate-Optimal Rank Aggregation with Private Pairwise Rankings	9
Classification Trees for Imbalanced Data: Surface-to-Volume Regularization	9
Spatial Statistics for Data Science: Theory and Practice with R.,	9
Higher-Order Accurate Two-Sample Network Inference and Network Hashing	9
Off-Policy Evaluation in Doubly Inhomogeneous Environments	9
Testing Mutually Exclusive Hypotheses for Multi-Response Regressions	9
Statistical Modeling with R: A Dual Frequentist and Bayesian Approach for Life Scientists	9
Robustifying Likelihoods by Optimistically Re-weighting Data	8
Dynamic Treatment Regimes: Statistical Methods for Precision Medicine	8
A Deep Generative Approach to Conditional Sampling	8
A Decorrelating and Debiasing Approach to Simultaneous Inference for High-Dimensional Confounded Models	8
Comments on “Measuring Housing Vitality from Multi-Source Big Data and Machine Learning”	8
Community Detection in General Hypergraph Via Graph Embedding	8
Generalized Linear Mixed Models: Modern Concepts, Methods and Applications, 2nd ed.	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
Differentially Private Sliced Inverse Regression: Minimax Optimality and Algorithm	8
Bayesian Edge Regression in Undirected Graphical Models to Characterize Interpatient Heterogeneity in Cancer	8
Rejective Sampling, Rerandomization, and Regression Adjustment in Survey Experiments	8
Policy Learning with Distributional Welfare	8
Estimation and Inference of Quantile Spatially Varying Coefficient Models Over Complicated Domains	8
Posterior risk of modular and semi-modular Bayesian inference	8
Natural Gradient Variational Bayes Without Fisher Matrix Analytic Calculation and Its Inversion	8
Scaled Process Priors for Bayesian Nonparametric Estimation of the Unseen Genetic Variation	8
Online Policy Learning and Inference by Matrix Completion	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 with Local Optima	8
Factor Augmented Inverse Regression and its Application to Microbiome Data Analysis	7
Nonparametric Multiple-Output Center-Outward Quantile Regression	7
PCABM: Pairwise Covariates-Adjusted Block Model for Community Detection	7
Test of Weak Separability for Spatially Stationary Functional Field	7
Fast Network Community Detection With Profile-Pseudo Likelihood Methods	7
Manipulating an Instrumental Variable in an Observational Study of Premature Babies: Design, Bounds, and Inference	7
On a Notion of Graph Centrality Based on L 1 Data Depth	7
Quantification of Vaccine Waning as a Challenge Effect	7
When Frictions Are Fractional: Rough Noise in High-Frequency Data	7
Capture-Recapture Models with Heterogeneous Temporary Emigration	7

A Novel Approach of High Dimensional Linear Hypothesis Testing Problem	7
Hamiltonian-Assisted Metropolis Sampling	7
Robust Regression with Covariate Filtering: Heavy Tails and Adversarial Contamination	7
Deep Mutual Density Ratio Estimation with Bregman Divergence and Its Applications	7
Statistical Inference for Hüsler–Reiss Graphical Models Through Matrix Completions	7
A Wasserstein Index of Dependence for Random Measures	7
Inference in Heavy-Tailed Nonstationary Multivariate Time Series	7
Structural Equation Modeling Using R/SAS: A Step-by-Step Approach with Real Data Analysis	7
Unified Unconditional Regression for Multivariate Quantiles, M-Quantiles, and Expectiles	7
Deep Fréchet Regression	7
Ranking Inferences Based on the Top Choice of Multiway Comparisons	7
Confidently Comparing Estimates with the c-value	7
Recommender Systems: A Review	7
High-Order Joint Embedding for Multi-Level Link Prediction	7
Enhanced Response Envelope via Envelope Regularization	7
High-Dimensional Knockoffs Inference for Time Series Data	7
Permutation Tests at Nonparametric Rates	7
Discovery and Inference of a Causal Network with Hidden Confounding	7
Conditional probability tensor decompositions for multivariate categorical response regression	7
Exact Decoding of a Sequentially Markov Coalescent Model in Genetics	7
A Multimodal Multilevel Neuroimaging Model for Investigating Brain Connectome Development	7
Factor Augmented Sparse Throughput Deep ReLU Neural Networks for High Dimensional Regression	7
On the Poor Statistical Properties of the P -Curve Meta-Analytic Procedure	7
Estimation of Copulas via Maximum Mean Discrepancy	7
ℓ 1 -based Bayesian Ideal Point Model for Multidimensional Politics	7
An Efficient Coalescent Model for Heterochronously Sampled Molecular Data	6
Correction to: Semiparametric Inference for Non-monotone Missing-Not-at-Random Data: the No Self-Censoring Model	6
High-Dimensional Time Series Segmentation via Factor-Adjusted Vector Autoregressive Modeling	6
Accommodating Time-Varying Heterogeneity in Risk Estimation under the Cox Model: A Transfer Learning Approach	6
Reinforcement Learning in Latent Heterogeneous Environments	6
Statistical Learning for Individualized Asset Allocation	6
Neural Networks for Geospatial Data	6
False Discovery Rate Control via Data Splitting	6
Bayesian Inference Using the Proximal Mapping: Uncertainty Quantification Under Varying Dimensionality	6
Bayesian Bootstrap Spike-and-Slab LASSO	6
Compositional Graphical Lasso Resolves the Impact of Parasitic Infection on Gut Microbial Interaction Networks in a Zebrafish Model	6
Estimation and Inference for Nonparametric Expected Shortfall Regression over RKHS	6
Optimal Nonparametric Inference with Two-Scale Distributional Nearest Neighbors	6
Efficient Distributed Learning over Decentralized Networks with Convoluted Support Vector Machine	6
Operationalizing Legislative Bodies: A Methodological and Empirical Perspective with a Bayesian Approach	6
Semi-Supervised Triply Robust Inductive Transfer Learning	6
Monte Carlo Inference for Semiparametric Bayesian Regression	6
Fair Coins Tend to Land on the Same Side They Started: Evidence from 350,757 Flips	6
Inference for Dispersion and Curvature of Random Objects	6
Conditional Separable Effects	6
Discussion of “Confidence Intervals for Nonparametric Empirical Bayes Analysis”	6
Ridge Regression Under Dense Factor Augmented Models	6
Sparse Graphical Modeling for High Dimensional Data: A Paradigm of Conditional Independence Tests	6
Handbook of Matching and Weighting Adjustments for Causal Inference	6
Graphical Model Inference with Erosely Measured Data	6
Tests for Large-Dimensional Shape Matrices via Tyler’s M Estimators	6
Estimating Higher-Order Mixed Memberships via the l2,∞ Tensor Perturbation Bound	6
Fast Approximation of the Shapley Values Based on Order-of-Addition Experimental Designs	6
When does bottom-up beat top-down in hierarchical community detection?	5
Understanding Implicit Regularization in Over-Parameterized Single Index Model	5
Skeleton Clustering: Dimension-Free Density-Aided Clustering	5
Cohesion and Repulsion in Bayesian Distance Clustering	5
Checking the Cox Proportional Hazards Model with Interval-Censored Data	5
Causal Inference in Transcriptome-Wide Association Studies with Invalid Instruments and GWAS Summary Data	5
Distribution of Distances based Object Matching: Asymptotic Inference	5
Poisson-FOCuS: An Efficient Online Method for Detecting Count Bursts with Application to Gamma Ray Burst Detection. Rejoinder	5
Partially Exchangeable Stochastic Block Models for (Node-Colored) Multilayer Networks	5
Mapping the Genetic-Imaging-Clinical Pathway with Applications to Alzheimer’s Disease	5
Testing Elliptical Models in High Dimensions	5
Efficient Stochastic Generators with Spherical Harmonic Transformation for High-Resolution Global Climate Simulations from CESM2-LENS2	5
Automatic Regenerative Simulation via Non-Reversible Simulated Tempering	5
Dynamic Matrix Recovery	5
Evaluating Association Between Two Event Times with Observations Subject to Informative Censoring	5
Discussion of “A Tale of Two Datasets: Representativeness and Generalisability of Inference for Samples of Networks”	5
A Bayesian Nonparametric Approach to Mediation and Spillover Effects with Multiple Mediators in Cluster-Randomized Trials	5
Kernel Spectral Joint Embeddings for High-Dimensional Noisy Datasets Using Duo-Landmark Integral Operators	5
Testing Simultaneous Diagonalizability	5
Controlled Epidemiological Studies	5
Discussion of “Measuring Housing Vitality from Multi-Source Big Data and Machine Learning”	5
Rejoinder	5
Hub Detection in Gaussian Graphical Models	5
Discussion of “Data Fission: Splitting a Single Data Point” by Leiner et al.	5
Degree-Heterogeneous Latent Class Analysis for High-Dimensional Discrete Data	5
Gaussian Approximation and Spatially Dependent Wild Bootstrap for High-Dimensional Spatial Data	4
Discussion of “Data Fission: Splitting a Single Data Point”	4
Large Scale Prediction with Decision Trees	4
Sobolev Calibration of Imperfect Computer Models	4
Fundamentals of Causal Inference: With R	4
Modeling Postoperative Mortality in Older Patients by Boosting Discrete-Time Competing Risks Models	4
Extreme Value Statistics in Semi-Supervised Models	4
Supervised Machine Learning for Text Analysis in R Supervised Machine Learning for Text Analysis in R ., Emil Hvitfeldt, Julia Silge, Boca Raton, FL, CRC Press., (2022),	4
Assessing Disparities in Americans’ Exposure to PCBs and PBDEs based on NHANES Pooled Biomonitoring Data	4
Mixed-Response State-Space Model for Analyzing Multi-Dimensional Digital Phenotypes	4
Approximate Selective Inference via Maximum Likelihood	4
Discussion of “Confidence Intervals for Nonparametric Empirical Bayes Analysis” by Ignatiadis and Wager	4
Discussion of “LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures”	4
Model-Based Clustering of Categorical Data Based on the Hamming Distance	4
Testing the Number of Common Factors by Bootstrapped Sample Covariance Matrix in High-Dimensional Factor Models	4
Comments on “Data Fission: Splitting a Single Data Point” by James Leiner, Boyan Duan, Larry Wasserman, and Aaditya Ramdas	4
Adaptive Functional Thresholding for Sparse Covariance Function Estimation in High Dimensions	4