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	295
Classified Mixed Model Projections	106
Kernel Estimation of Bivariate Time-Varying Coefficient Model for Longitudinal Data with Terminal Event	71
Subspace Estimation with Automatic Dimension and Variable Selection in Sufficient Dimension Reduction	56
Consistent Least Squares Estimation in Population-Size-Dependent Branching Processes	55
In Nonparametric and High-Dimensional Models, Bayesian Ignorability is an Informative Prior	41
Censored Interquantile Regression Model with Time-Dependent Covariates	40
Network Regression and Supervised Centrality Estimation	39
Totally Concave Regression	38
Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process	38
Correction to “Modeling Time-Varying Random Objects and Dynamic Networks”	35
Frequency-Band Estimation of the Number of Factors	35
U-Statistic Reduction: Higher-Order Accurate Risk Control and Statistical-Computational Trade-Off	32
Analysis of Variance of Tensor Product Reproducing Kernel Hilbert Spaces on Metric Spaces	32
A Semiparametric Inverse Reinforcement Learning Approach to Characterize Decision Making for Mental Disorders	32
Handbook of Bayesian, Fiducial, and Frequentist Inference	30
Bayesian Conditional Transformation Models	29
A Latent Variable Approach to Learning High-Dimensional Multivariate Longitudinal Data	28
Inside-out cross-covariance for spatial multivariate data	27
Scalable and robust regression models for continuous proportional data	27
The Effect of Alcohol Intake on Brain White Matter Microstructural Integrity: A New Causal Inference Framework for Incomplete Phenomic Data	26
A Minimax Two-Sample Test for Functional Data via Grothendieck’s Divergence	26
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
Rejoinder: A Scale-free Approach for False Discovery Rate Control in Generalized Linear Models	24
Rejoinder: LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures	24

Rejoinder: Confidence Intervals for Nonparametric Empirical Bayes Analysis	24
Sparse Bayesian Multidimensional Item Response Theory	22
Posterior Predictive Design for Phase I Clinical Trials	21
A Random Projection Approach to Hypothesis Tests in High-Dimensional Single-Index Models	20
Soccer Analytics: An Introduction Using R	20
Estimation and Variable Selection for Interval-Censored Failure Time Data with Random Change Point and Application to Breast Cancer Study	20
Inferring Causal Effect of a Digital Communication Strategy under a Latent Sequential Ignorability Assumption and Treatment Noncompliance	20
Enveloped Huber Regression	19
Hypothesis Tests for Structured Rank Correlation Matrices	19
Two-Way Truncated Linear Regression Models with Extremely Thresholding Penalization	19
Theory of Statistical Inference	19
Node-Level Community Detection within Edge Exchangeable Models for Interaction Processes	19
Translating Predictive Distributions into Informative Priors	18
Distributional Outcome Regression via Quantile Functions and its Application to Modelling Continuously Monitored Heart Rate and Physical Activity	18
The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review	18
Covariance Estimation for Matrix-valued Data	18
SPARCC: Semi-Parametric Robust Estimation in a Right-Censored Covariate Model	18
Fairness in Machine Learning: A Review for Statisticians	18
Optimal Dynamic Treatment Regimes and Partial Welfare Ordering	18
Comments on “Data Fission: Splitting a Single Data Point”	18
A Factor-Copula Latent-Vine Time Series Model for Extreme Flood Insurance Losses	17
Discussion of “LAMBDA: Large Model Based Data Agent”	17
Reversible Jump PDMP Samplers for Variable Selection	17
Inference in High-Dimensional Multivariate Response Regression with Hidden Variables	17
Localized Sparse Principal Component Analysis of Multivariate Time Series in the Frequency Domain	17
Bayesian Landmark-Based Shape Analysis of Tumor Pathology Images	16
Covariate-Informed Latent Interaction Models: Addressing Geographic & Taxonomic Bias in Predicting Bird–Plant Interactions	16
Statistical Analytics for Health Data Science with SAS and R	16
Dynamic Decision Making With Individualized Variable Selection	16
Matching on Generalized Propensity Scores with Continuous Exposures	16
Model-Based Machine Learning	15
Efficient Estimation for Censored Quantile Regression	15
Optimal Differentially Private Ranking from Pairwise Comparisons*	15
Robust Leave-One-Out Cross-Validation for High-Dimensional Bayesian Models	15
A Feasibility Study of Differentially Private Summary Statistics and Regression Analyses with Evaluations on Administrative and Survey Data	15
Conformal Prediction for Network-Assisted Regression	15
Weighted Functional Data Analysis for the Calibration of a Ground Motion Model in Italy	14
Graphical Principal Component Analysis of Multivariate Functional Time Series	14
On the Comparative Analysis of Average Treatment Effects Estimation via Data Combination	14
Low-Rank Online Dynamic Assortment with Dual Contextual Information	14
A Unified Inference for Predictive Quantile Regression	13
Improved Bounds and Inference on Optimal Regimes	13
CARE: Large Precision Matrix Estimation for Compositional Data	13
Bayesian Nonparametric Quasi Likelihood	13
Comment on: “Confidence Intervals for Nonparametric Empirical Bayes Analysis” by Ignatiadis and Wager	13
Factorial Difference-in-Differences*	13
Causality-Oriented Robustness: Exploiting General Noise Interventions	13
Network Varying Coefficient Model	13
Statistical Prediction and Machine Learning	13
eDNAPlus: A Unifying Modeling Framework for DNA-based Biodiversity Monitoring	13

Testing Directed Acyclic Graph via Structural, Supervised and Generative Adversarial Learning	13
Understanding Inequalities in Cancer Survival Using Bayesian Machine Learning	13
Kernel Meets Sieve: Transformed Hazards Models with Sparse Longitudinal Covariates	13
Doubly Flexible Estimation under Label Shift	12
Hypotheses Testing from Complex Survey Data Using Bootstrap Weights: A Unified Approach	12
Large-Scale Low-Rank Gaussian Process Prediction with Support Points	12
Generalized Bayesian Additive Regression Trees Models: Beyond Conditional Conjugacy	12
Discussion of “LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures”	12
Joint Spectral Clustering in Multilayer Degree-Corrected Stochastic Blockmodels	12
On a Class of Sobolev Tests for Symmetry, their Detection Thresholds, and Asymptotic Powers	12
Inference on the Proportion of Variance Explained in Principal Component Analysis	12
Models for Multi-State Survival Data: Rates, Risks, and Pseudo-Values	12
Structured Conformal Inference for Matrix Completion with Applications to Group Recommender Systems	12
On Semiparametrically Dynamic Functional-Coefficient Autoregressive Spatio-Temporal Models with Irregular Location Wide Nonstationarity	12
Financial Data Analytics with R: Monte-Carlo Validation	11
Asymptotic Distribution-Free Independence Test for High-Dimension Data	11
Differentially Private Permutation Tests	11
Introduction to Quantitative Social Science with Python	11
Estimating Heterogeneous Exposure Effects in the Case-Crossover Design Using BART	11
Group Network Hawkes Process	11
Hyperbolic Network Latent Space Model with Learnable Curvature	11
Assessing the Most Vulnerable Subgroup to Type II Diabetes Associated with Statin Usage: Evidence from Electronic Health Record Data	11
Minimum Resource Threshold Policy Under Partial Interference	11
Data Fusion Using Weakly Aligned Sources	11
A Discussion on: “Data Fission: Splitting a Single Data Point” by Leiner, J., Duan, B., Wasserman, L. and Ramdas, A.	10
Crowdsourcing Utilizing Subgroup Structure of Latent Factor Modeling	10
Efficient Multimodal Sampling via Tempered Distribution Flow	10
Causal Inference for Social Network Data	10
Scalable Bayesian Image-on-Scalar Regression for Population-Scale Neuroimaging Data Analysis	10
Probability Modeling and Statistical Inference in Cancer Screening	10
Optimal Run Order for Order-of-Addition Experiments	10
Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes	10
Divide-and-Conquer: A Distributed Hierarchical Factor Approach to Modeling Large-Scale Time Series Data	10
Theory for Identification and Inference with Synthetic Controls: A Proximal Causal Inference Framework	10
Discussion of “Data Fission: Splitting a Single Data Point” – Some Asymptotic Results for Data Fission	10
Graph-Aligned Random Partition Model (GARP)	10
Chain-Linked Multiple Matrix Integration via Embedding Alignment	10
Off-Policy Evaluation in Doubly Inhomogeneous Environments	10
Estimating the Spectral Density at Frequencies Near Zero	10
Stationarity of Manifold Time Series	10
Higher-Order Accurate Two-Sample Network Inference and Network Hashing	9
Individualized Dynamic Mediation Analysis Using Latent Factor Models	9
Comments on “Measuring Housing Vitality from Multi-Source Big Data and Machine Learning”	9
Estimation and Inference of Quantile Spatially Varying Coefficient Models Over Complicated Domains	9
Scalable Estimation of Multinomial Response Models with Random Consideration Sets	9
Deep Regression for Repeated Measurements	9
Bayesian Nonparametric Common Atoms Regression for Generating Synthetic Controls in Clinical Trials	9
Functional Mixed Effects Clustering with Application to Longitudinal Urologic Chronic Pelvic Pain Syndrome Symptom Data	9
Spatial Statistics for Data Science: Theory and Practice with R.,	9
Natural Gradient Variational Bayes Without Fisher Matrix Analytic Calculation and Its Inversion	9
Rate-Optimal Rank Aggregation with Private Pairwise Rankings	9
Spatial Variation on Multiple Scales in Line Transect Data; the Case of Antarctic Fin Whales	9
Estimation and Inference of Extremal Quantile Treatment Effects for Heavy-Tailed Distributions	9
Random Effects Model-Based Sufficient Dimension Reduction for Independent Clustered Data	9
An Additive Graphical Model for Discrete Data	9
Testing Mutually Exclusive Hypotheses for Multi-Response Regressions	9
Bayesian Spatial Blind Source Separation via the Thresholded Gaussian Process	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
A Statistician’s Overview of Physics-Informed Neural Networks for Spatio-Temporal Data	8
Differentially Private Sliced Inverse Regression: Minimax Optimality and Algorithm	8
Learning When the Concept Shifts: Confounding, Invariance, and Dimension Reduction	8
Discussion of “LAMBDA: A Large Model Based Data Agent”	8
Confidently Comparing Estimates with the c-value	8
Factor Augmented Inverse Regression and its Application to Microbiome Data Analysis	8
Belted and Ensembled Neural Network for Linear and Nonlinear Sufficient Dimension Reduction	8
Robustifying Likelihoods by Optimistically Re-weighting Data	8
Network Inference Using the Hub Model and Variants	8
Posterior Risk of Modular and Semi-Modular Bayesian Inference	8
Statistical Modeling with R: A Dual Frequentist and Bayesian Approach for Life Scientists	8
Online Policy Learning and Inference by Matrix Completion	8
Exact Decoding of a Sequentially Markov Coalescent Model in Genetics	8
Contextual Dynamic Pricing: Algorithms, Optimality, and Local Differential Privacy Constraints	8
Generalized Linear Mixed Models: Modern Concepts, Methods and Applications, 2nd ed.	8
Statistical Inference For Noisy Matrix Completion Incorporating Auxiliary Information	8
Bias Control for M-Quantile-Based Small Area Estimators	8
Scaled Process Priors for Bayesian Nonparametric Estimation of the Unseen Genetic Variation	8
Policy Learning with Distributional Welfare	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
Cluster Quilting: Spectral Clustering for Patchwork Learning	8
A Decorrelating and Debiasing Approach to Simultaneous Inference for High-Dimensional Confounded Models	8

Enhanced Response Envelope via Envelope Regularization	7
Learning with the Minimum Description Length Principle	7
A Novel Approach of High Dimensional Linear Hypothesis Testing Problem	7
Capture-Recapture Models with Heterogeneous Temporary Emigration	7
Recommender Systems: A Review	7
Unified Unconditional Regression for Multivariate Quantiles, M-Quantiles, and Expectiles	7
On the Poor Statistical Properties of the P -Curve Meta-Analytic Procedure	7
Nonparametric Multiple-Output Center-Outward Quantile Regression	7
Conditional probability tensor decompositions for multivariate categorical response regression	7
Tail risk in the tail: Estimating high quantiles when a related variable is extreme	7
Structural Equation Modeling Using R/SAS: A Step-by-Step Approach with Real Data Analysis	7
When Frictions Are Fractional: Rough Noise in High-Frequency Data	7
Toward Interpretable Deep Generative Models via Causal Representation Learning	7
Factor Augmented Sparse Throughput Deep ReLU Neural Networks for High Dimensional Regression	7
A Wasserstein Index of Dependence for Random Measures	7
On a Notion of Graph Centrality Based on L 1 Data Depth	7
ℓ 1 -based Bayesian Ideal Point Model for Multidimensional Politics	7
Deep Fréchet Regression	7
Systemic and Systematic Risks-Driven Marginal Expected Side-effect	7
Ranking Inferences Based on the Top Choice of Multiway Comparisons	7
Quantification of Vaccine Waning as a Challenge Effect	7
Bayesian Signal Matching for Transfer Learning in ERP-Based Brain Computer Interface	7
Compositional Graphical Lasso Resolves the Impact of Parasitic Infection on Gut Microbial Interaction Networks in a Zebrafish Model	6
Covariate-Adjusted Response-Adaptive Design with Delayed Outcomes	6
Discovery and Inference of a Causal Network with Hidden Confounding	6
Differentially Private Sliced Inverse Regression in the Federated Paradigm	6
Subtype-Aware Registration of Longitudinal Electronic Health Records	6
Fast Approximation of the Shapley Values Based on Order-of-Addition Experimental Designs	6
Bayesian Inference Using the Proximal Mapping: Uncertainty Quantification Under Varying Dimensionality	6
Robust Regression with Covariate Filtering: Heavy Tails and Adversarial Contamination	6
High-Dimensional Knockoffs Inference for Time Series Data	6
Inference in Heavy-Tailed Nonstationary Multivariate Time Series	6
Manipulating an Instrumental Variable in an Observational Study of Premature Babies: Design, Bounds, and Inference	6
Blessing from Human-AI Interaction: Super Policy Learning in Confounded Environments	6
PCABM: Pairwise Covariates-Adjusted Block Model for Community Detection	6
Heterogeneous Gene Network Estimation for Single-Cell Transcriptomic Data via a Joint Regularized Deep Neural Network	6
Handbook of Matching and Weighting Adjustments for Causal Inference	6
Optimal Nonparametric Inference with Two-Scale Distributional Nearest Neighbors	6
Sparse Graphical Modeling for High Dimensional Data: A Paradigm of Conditional Independence Tests	6
Deep Mutual Density Ratio Estimation with Bregman Divergence and Its Applications	6
Statistical Inference for Hüsler–Reiss Graphical Models Through Matrix Completions	6
Permutation Tests at Nonparametric Rates	6
High-Dimensional Time Series Segmentation via Factor-Adjusted Vector Autoregressive Modeling	6
Nonparametric Bootstrap Inference for the Eigenvalues of Geophysical Tensors	6
Monte Carlo Inference for Semiparametric Bayesian Regression	6
An Efficient Coalescent Model for Heterochronously Sampled Molecular Data	6
Discussion of “Confidence Intervals for Nonparametric Empirical Bayes Analysis”	6
Cohesion and Repulsion in Bayesian Distance Clustering	5
Neural Networks for Geospatial Data	5
Conditional Separable Effects	5
Fair Coins Tend to Land on the Same Side They Started: Evidence from 350,757 Flips	5
Estimating Higher-Order Mixed Memberships via the l2,∞ Tensor Perturbation Bound	5
Controlled Epidemiological Studies	5
On the Identifying Power of Generalized Monotonicity for Average Treatment Effects	5
Operationalizing Legislative Bodies: A Methodological and Empirical Perspective with a Bayesian Approach	5
Skeleton Clustering: Dimension-Free Density-Aided Clustering	5
A Bayesian Nonparametric Approach to Mediation and Spillover Effects with Multiple Mediators in Cluster-Randomized Trials	5
Mapping the Genetic-Imaging-Clinical Pathway with Applications to Alzheimer’s Disease	5
Spatial Scale-Aware Tail Dependence Modeling for High-Dimensional Spatial Extremes	5
Efficient Distributed Learning over Decentralized Networks with Convoluted Support Vector Machine	5
Ridge Regression Under Dense Factor Augmented Models	5
Semi-Supervised Triply Robust Inductive Transfer Learning	5
Accommodating Time-Varying Heterogeneity in Risk Estimation under the Cox Model: A Transfer Learning Approach	5
Efficient Stochastic Generators with Spherical Harmonic Transformation for High-Resolution Global Climate Simulations from CESM2-LENS2	5
Variable Significance Testing for the Deep Cox Model	5
Calibrated Model Criticism Using Split Predictive Checks	5
Testing Simultaneous Diagonalizability	5
Fast and Flexible Emulation of Spatial Extremes Processes via Variational Autoencoders	5
Graphical Model Inference with Erosely Measured Data	5
Inference for Dispersion and Curvature of Random Objects	5
False Discovery Rate Control via Data Splitting	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
When Does Bottom-Up Beat Top-Down in Hierarchical Community Detection?	5
Kernel Spectral Joint Embeddings for High-Dimensional Noisy Datasets Using Duo-Landmark Integral Operators	5
Testing Elliptical Models in High Dimensions	5
Reinforcement Learning in Latent Heterogeneous Environments	5
Tests for Large-Dimensional Shape Matrices via Tyler’s M Estimators	5