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	240
Correction to “Modeling Time-Varying Random Objects and Dynamic Networks”	82
Classified Mixed Model Projections	68
Censored Interquantile Regression Model with Time-Dependent Covariates	49
Kernel Estimation of Bivariate Time-Varying Coefficient Model for Longitudinal Data with Terminal Event	46
A Minimax Two-Sample Test for Functional Data via Grothendieck’s Divergence	42
Handbook of Bayesian, Fiducial, and Frequentist Inference	40
Bayesian Conditional Transformation Models	39
The Effect of Alcohol Intake on Brain White Matter Microstructural Integrity: A New Causal Inference Framework for Incomplete Phenomic Data	36
Subspace Estimation with Automatic Dimension and Variable Selection in Sufficient Dimension Reduction	34
Consistent least squares estimation in population-size-dependent branching processes	34
On Robustness of Individualized Decision Rules	32
In Nonparametric and High-Dimensional Models, Bayesian Ignorability is an Informative Prior	31
U-Statistic Reduction: Higher-Order Accurate Risk Control and Statistical-Computational Trade-Off	31
A Semiparametric Inverse Reinforcement Learning Approach to Characterize Decision Making for Mental Disorders	30
Frequency-Band Estimation of the Number of Factors*	27
Analysis of Variance of Tensor Product Reproducing Kernel Hilbert Spaces on Metric Spaces	27
Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process	26
Rejoinder: LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures	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	25
Theory of Statistical Inference	23
Rejoinder: A Scale-free Approach for False Discovery Rate Control in Generalized Linear Models	23
Optimal Dynamic Treatment Regimes and Partial Welfare Ordering	23
Enveloped Huber Regression	23
Rejoinder: Confidence Intervals for Nonparametric Empirical Bayes Analysis	23

Coordinatewise Gaussianization: Theories and Applications	22
Inferring Causal Effect of a Digital Communication Strategy under a Latent Sequential Ignorability Assumption and Treatment Noncompliance	22
A factor-copula latent-vine time series model for extreme flood insurance losses	22
Hypothesis Tests for Structured Rank Correlation Matrices	22
Node-Level Community Detection within Edge Exchangeable Models for Interaction Processes	22
SPARCC: Semi-Parametric Robust Estimation in a Right-Censored Covariate Model	22
Covariate-Informed Latent Interaction Models: Addressing Geographic & Taxonomic Bias in Predicting Bird–Plant Interactions	22
Soccer Analytics: An Introduction Using R	22
A Random Projection Approach to Hypothesis Tests in High-Dimensional Single-Index Models	20
Covariance Estimation for Matrix-valued Data	19
Comments on “Data Fission: Splitting a Single Data Point”	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	19
Reversible Jump PDMP Samplers for Variable Selection	18
The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review	18
Spectral Density Estimation for Nonstationary Data With Nonzero Mean Function	17
Matching on Generalized Propensity Scores with Continuous Exposures	17
Sparse Bayesian Multidimensional Item Response Theory	17
Posterior Predictive Design for Phase I Clinical Trials	17
Weighted Functional Data Analysis for the Calibration of a Ground Motion Model in Italy	17
Two-Way Truncated Linear Regression Models with Extremely Thresholding Penalization	17
Estimation and Variable Selection for Interval-Censored Failure Time Data with Random Change Point and Application to Breast Cancer Study	17
Fairness in Machine Learning: A Review for Statisticians	17
Efficient Estimation for Censored Quantile Regression	16
Testing Directed Acyclic Graph via Structural, Supervised and Generative Adversarial Learning	16
Bayesian Landmark-Based Shape Analysis of Tumor Pathology Images	16
Comment on: “Confidence Intervals for Nonparametric Empirical Bayes Analysis” by Ignatiadis and Wager	16
A Unified Inference for Predictive Quantile Regression	16
Statistical Analytics for Health Data Science with SAS and R	16
Efficient Estimation in the Fine and Gray Model	16
Dynamic Decision Making With Individualized Variable Selection	16
eDNAPlus: A Unifying Modeling Framework for DNA-based Biodiversity Monitoring	15
Inference on the Proportion of Variance Explained in Principal Component Analysis	15
Statistical Prediction and Machine Learning	15
Improved Bounds and Inference on Optimal Regimes	15
Conformal Prediction for Network-Assisted Regression	15
Understanding Inequalities in Cancer Survival Using Bayesian Machine Learning	15
Model-Based Machine Learning	14
Graphical Principal Component Analysis of Multivariate Functional Time Series	14
Generalized Bayesian Additive Regression Trees Models: Beyond Conditional Conjugacy	14
A Feasibility Study of Differentially Private Summary Statistics and Regression Analyses with Evaluations on Administrative and Survey Data	14
Robust Leave-One-Out Cross-Validation for High-Dimensional Bayesian Models	14
Network Varying Coefficient Model	14
CARE: Large Precision Matrix Estimation for Compositional Data	14
Low-Rank Online Dynamic Assortment with Dual Contextual Information	14
Kernel Meets Sieve: Transformed Hazards Models with Sparse Longitudinal Covariates	14
On the Comparative Analysis of Average Treatment Effects Estimation via Data Combination	14
Bayesian Nonparametric Quasi Likelihood	13
Large-Scale Low-Rank Gaussian Process Prediction with Support Points	13
Assessing the Most Vulnerable Subgroup to Type II Diabetes Associated with Statin Usage: Evidence from Electronic Health Record Data	13

Models for Multi-State Survival Data: Rates, Risks, and Pseudo-Values	13
Discussion of “LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures”	13
Estimating Heterogeneous Exposure Effects in the Case-Crossover Design Using BART	13
Rejoinder	13
On Semiparametrically Dynamic Functional-Coefficient Autoregressive Spatio-Temporal Models with Irregular Location Wide Nonstationarity	13
On a Class of Sobolev Tests for Symmetry, their Detection Thresholds, and Asymptotic Powers	13
Minimum Resource Threshold Policy Under Partial Interference	12
Joint Spectral Clustering in Multilayer Degree-Corrected Stochastic Blockmodels	12
Data Fusion Using Weakly Aligned Sources	12
Doubly Flexible Estimation under Label Shift	12
Asymptotic Distribution-Free Independence Test for High-Dimension Data	12
Do We Exploit all Information for Counterfactual Analysis? Benefits of Factor Models and Idiosyncratic Correction	12
Hypotheses Testing from Complex Survey Data Using Bootstrap Weights: A Unified Approach	12
Financial Data Analytics with R: Monte-Carlo Validation	12
Group Network Hawkes Process	12
Crowdsourcing Utilizing Subgroup Structure of Latent Factor Modeling	11
Discussion of “Data Fission: Splitting a Single Data Point” – Some Asymptotic Results for Data Fission	11
Estimation and Inference of Extremal Quantile Treatment Effects for Heavy-Tailed Distributions	11
Optimal Run Order for Order-of-Addition Experiments	11
Functional Mixed Effects Clustering with Application to Longitudinal Urologic Chronic Pelvic Pain Syndrome Symptom Data	11
Efficient Multimodal Sampling via Tempered Distribution Flow	11
A Discussion on: “Data Fission: Splitting a Single Data Point” by Leiner, J., Duan, B., Wasserman, L. and Ramdas, A.	11
Asymmetric Error Control Under Imperfect Supervision: A Label-Noise-Adjusted Neyman–Pearson Umbrella Algorithm	11
Higher-Order Accurate Two-Sample Network Inference and Network Hashing	11
Bayesian Nonparametric Common Atoms Regression for Generating Synthetic Controls in Clinical Trials	11
Graph-Aligned Random Partition Model (GARP)	11
Chain-Linked Multiple Matrix Integration via Embedding Alignment	11
Probability Modeling and Statistical Inference in Cancer Screening	11
Spatial Variation on Multiple Scales in Line Transect Data; the Case of Antarctic Fin Whales	11
Rate-Optimal Rank Aggregation with Private Pairwise Rankings	11
Estimating the Spectral Density at Frequencies Near Zero	11
Divide-and-Conquer: A Distributed Hierarchical Factor Approach to Modeling Large-Scale Time Series Data	10
Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes	10
An Additive Graphical Model for Discrete Data	10
Network Inference Using the Hub Model and Variants	10
Causal Inference for Social Network Data	10
Off-Policy Evaluation in Doubly Inhomogeneous Environments	10
Classification Trees for Imbalanced Data: Surface-to-Volume Regularization	10
Spatial Statistics for Data Science: Theory and Practice with R.,	10
Random Effects Model-Based Sufficient Dimension Reduction for Independent Clustered Data	10
Deep Regression for Repeated Measurements	10
Statistical Modeling with R: A Dual Frequentist and Bayesian Approach for Life Scientists	10
Comments on “Measuring Housing Vitality from Multi-Source Big Data and Machine Learning”	9
Bayesian Spatial Blind Source Separation via the Thresholded Gaussian Process	9
Posterior risk of modular and semi-modular Bayesian inference	9
Bias Control for M-quantile-based Small Area Estimators	9
Policy Learning with Distributional Welfare	9
Online Policy Learning and Inference by Matrix Completion	9
Natural Gradient Variational Bayes Without Fisher Matrix Analytic Calculation and Its Inversion	9
Belted and Ensembled Neural Network for Linear and Nonlinear Sufficient Dimension Reduction	9
A Decorrelating and Debiasing Approach to Simultaneous Inference for High-Dimensional Confounded Models	9
Statistical Inference For Noisy Matrix Completion Incorporating Auxiliary Information	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
Bayesian Edge Regression in Undirected Graphical Models to Characterize Interpatient Heterogeneity in Cancer	9
Differentially Private Sliced Inverse Regression: Minimax Optimality and Algorithm	9
Scaled Process Priors for Bayesian Nonparametric Estimation of the Unseen Genetic Variation	8
Generalized Linear Mixed Models: Modern Concepts, Methods and Applications, 2nd ed.	8
When Frictions Are Fractional: Rough Noise in High-Frequency Data	8
Unified Unconditional Regression for Multivariate Quantiles, M-Quantiles, and Expectiles	8
Factor Augmented Inverse Regression and its Application to Microbiome Data Analysis	8
Exact Decoding of a Sequentially Markov Coalescent Model in Genetics	8
ℓ 1 -based Bayesian Ideal Point Model for Multidimensional Politics	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
Robustifying Likelihoods by Optimistically Re-weighting Data	8
Estimation and Inference of Quantile Spatially Varying Coefficient Models Over Complicated Domains	8
Community Detection in General Hypergraph Via Graph Embedding	8
On a Notion of Graph Centrality Based on L 1 Data Depth	8
Quantification of Vaccine Waning as a Challenge Effect	8
Bayesian Signal Matching for Transfer Learning in ERP-Based Brain Computer Interface	8
Ranking Inferences Based on the Top Choice of Multiway Comparisons	8
Confidently Comparing Estimates with the c-value	8
Dynamic Treatment Regimes: Statistical Methods for Precision Medicine	8
A Deep Generative Approach to Conditional Sampling	8
A Multimodal Multilevel Neuroimaging Model for Investigating Brain Connectome Development	8
Capture-Recapture Models with Heterogeneous Temporary Emigration	8
A Novel Approach of High Dimensional Linear Hypothesis Testing Problem	8
Recommender Systems: A Review	8
Structural Equation Modeling Using R/SAS: A Step-by-Step Approach with Real Data Analysis	8
Deep Fréchet Regression	8
Statistical Inference with Local Optima	8

Testing Mutually Exclusive Hypotheses for Multi-Response Regressions	8
Permutation Tests at Nonparametric Rates	7
On the Poor Statistical Properties of the P -Curve Meta-Analytic Procedure	7
Enhanced Response Envelope via Envelope Regularization	7
Test of Weak Separability for Spatially Stationary Functional Field	7
PCABM: Pairwise Covariates-Adjusted Block Model for Community Detection	7
Manipulating an Instrumental Variable in an Observational Study of Premature Babies: Design, Bounds, and Inference	7
Compositional Graphical Lasso Resolves the Impact of Parasitic Infection on Gut Microbial Interaction Networks in a Zebrafish Model	7
Deep Mutual Density Ratio Estimation with Bregman Divergence and Its Applications	7
Conditional probability tensor decompositions for multivariate categorical response regression	7
Estimation of Copulas via Maximum Mean Discrepancy	7
Statistical Inference for Hüsler–Reiss Graphical Models Through Matrix Completions	7
Factor Augmented Sparse Throughput Deep ReLU Neural Networks for High Dimensional Regression	7
Nonparametric Multiple-Output Center-Outward Quantile Regression	7
High-Dimensional Time Series Segmentation via Factor-Adjusted Vector Autoregressive Modeling	7
Blessing from Human-AI Interaction: Super Policy Learning in Confounded Environments	7
A Wasserstein Index of Dependence for Random Measures	7
Robust Regression with Covariate Filtering: Heavy Tails and Adversarial Contamination	7
Discovery and Inference of a Causal Network with Hidden Confounding	7
Learning with the Minimum Description Length Principle.	7
High-Dimensional Knockoffs Inference for Time Series Data	7
Inference in Heavy-Tailed Nonstationary Multivariate Time Series	7
High-Order Joint Embedding for Multi-Level Link Prediction	7
Correction to: Semiparametric Inference for Non-monotone Missing-Not-at-Random Data: the No Self-Censoring Model	7
Statistical Learning for Individualized Asset Allocation	6
Testing Simultaneous Diagonalizability	6
Bayesian Bootstrap Spike-and-Slab LASSO	6
Semi-Supervised Triply Robust Inductive Transfer Learning	6
Estimating Higher-Order Mixed Memberships via the l2,∞ Tensor Perturbation Bound	6
Discussion of “Confidence Intervals for Nonparametric Empirical Bayes Analysis”	6
Inference for Dispersion and Curvature of Random Objects	6
Controlled Epidemiological Studies	6
Monte Carlo Inference for Semiparametric Bayesian Regression	6
Ridge Regression Under Dense Factor Augmented Models	6
Sparse Graphical Modeling for High Dimensional Data: A Paradigm of Conditional Independence Tests	6
Efficient Distributed Learning over Decentralized Networks with Convoluted Support Vector Machine	6
Estimation and Inference for Nonparametric Expected Shortfall Regression over RKHS	6
Bayesian Inference Using the Proximal Mapping: Uncertainty Quantification Under Varying Dimensionality	6
Fast Approximation of the Shapley Values Based on Order-of-Addition Experimental Designs	6
Accommodating Time-Varying Heterogeneity in Risk Estimation under the Cox Model: A Transfer Learning Approach	6
Graphical Model Inference with Erosely Measured Data	6
Handbook of Matching and Weighting Adjustments for Causal Inference	6
Neural Networks for Geospatial Data	6
An Efficient Coalescent Model for Heterochronously Sampled Molecular Data	6
Fair Coins Tend to Land on the Same Side They Started: Evidence from 350,757 Flips	6
Optimal Nonparametric Inference with Two-Scale Distributional Nearest Neighbors	6
False Discovery Rate Control via Data Splitting	6
Conditional Separable Effects	6
Understanding Implicit Regularization in Over-Parameterized Single Index Model	5
Distribution of Distances based Object Matching: Asymptotic Inference	5
High-Dimensional Expected Shortfall Regression	5
Poisson-FOCuS: An Efficient Online Method for Detecting Count Bursts with Application to Gamma Ray Burst Detection. Rejoinder	5
Rejoinder	5
Doubly Robust Augmented Model Accuracy Transfer Inference with High Dimensional Features	5
Tests for Large-Dimensional Shape Matrices via Tyler’s M Estimators	5
Kernel Spectral Joint Embeddings for High-Dimensional Noisy Datasets Using Duo-Landmark Integral Operators	5
Testing Elliptical Models in High Dimensions	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
Checking the Cox Proportional Hazards Model with Interval-Censored Data	5
Robust Bayesian Modeling of Counts with Zero Inflation and Outliers: Theoretical Robustness and Efficient Computation	5
Network Structure Learning Under Uncertain Interventions	5
GeoWarp: Warped Spatial Processes for Inferring Subsea Sediment Properties	5
Reinforcement Learning in Latent Heterogeneous Environments	5
Mapping the Genetic-Imaging-Clinical Pathway with Applications to Alzheimer’s Disease	5
Partially Exchangeable Stochastic Block Models for (Node-Colored) Multilayer Networks	5
When does bottom-up beat top-down in hierarchical community detection?	5
Discussion of “Measuring Housing Vitality from Multi-Source Big Data and Machine Learning”	5
Semi-Distance Correlation and Its Applications	5
Design-Based Causal Inference with Missing Outcomes: Missingness Mechanisms, Imputation-Assisted Randomization Tests, and Covariate Adjustment	5
Discussion of “Data Fission: Splitting a Single Data Point” by Leiner et al.	5
Automatic Regenerative Simulation via Non-Reversible Simulated Tempering	5
Dynamic Matrix Recovery	5
Cohesion and Repulsion in Bayesian Distance Clustering	5
Efficient Stochastic Generators with Spherical Harmonic Transformation for High-Resolution Global Climate Simulations from CESM2-LENS2	5
A Bayesian Nonparametric Approach to Mediation and Spillover Effects with Multiple Mediators in Cluster-Randomized Trials	5
Skeleton Clustering: Dimension-Free Density-Aided Clustering	5
A Bias-Accuracy-Privacy Trilemma for Statistical Estimation	4
Bias-Adjusted Spectral Clustering in Multi-Layer Stochastic Block Models	4
Covariate-Assisted Bayesian Graph Learning for Heterogeneous Data	4
Impact of existence and nonexistence of pivot on the coverage of empirical best linear prediction intervals for small areas	4
Testing the Number of Common Factors by Bootstrapped Sample Covariance Matrix in High-Dimensional Factor Models	4
Model-Based Clustering of Categorical Data Based on the Hamming Distance	4
Fundamentals of Causal Inference: With R	4
Hypothesis Testing for a Functional Parameter via Self-Normalization	4
Mixed-Response State-Space Model for Analyzing Multi-Dimensional Digital Phenotypes	4
Approximate Selective Inference via Maximum Likelihood	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
Assessing COVID-19 Prevalence in Austria with Infection Surveys and Case Count Data as Auxiliary Information	4
A Smoothed-Bayesian Approach to Frequency Recovery from Sketched Data	4
Adaptive Functional Thresholding for Sparse Covariance Function Estimation in High Dimensions	4
Copula Modeling of Serially Correlated Multivariate Data with Hidden Structures	4
Discussion of “Data Fission: Splitting a Single Data Point”	4
Extreme Value Statistics in Semi-Supervised Models	4