Journal of the American Statistical Association

Article	Citations
Classified Mixed Model Projections	194
Correction to “Modeling Time-Varying Random Objects and Dynamic Networks”	123
Analysis of Variance of Tensor Product Reproducing Kernel Hilbert Spaces on Metric Spaces	68
Coverage Properties of Empirical Bayes Intervals: A Discussion of “Confidence Intervals for Nonparametric Empirical Bayes Analysis” by Ignatiadis and Wager	58
Censored Interquantile Regression Model with Time-Dependent Covariates	43
Kernel Estimation of Bivariate Time-Varying Coefficient Model for Longitudinal Data with Terminal Event	43
A Minimax Two-Sample Test for Functional Data via Grothendieck’s Divergence	42
The Effect of Alcohol intake on Brain White Matter Microstructural Integrity: A New Causal Inference Framework for Incomplete Phenomic Data	39
U-Statistic Reduction: Higher-Order Accurate Risk Control and Statistical-Computational Trade-Off	38
Handbook of Bayesian, Fiducial, and Frequentist Inference	37
A Semiparametric Inverse Reinforcement Learning Approach to Characterize Decision Making for Mental Disorders	36
Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process	36
In Nonparametric and High-Dimensional Models, Bayesian Ignorability is an Informative Prior	35
On Robustness of Individualized Decision Rules	33
Bayesian Conditional Transformation Models	33
Subspace Estimation with Automatic Dimension and Variable Selection in Sufficient Dimension Reduction	32
Combining Matching and Synthetic Control to Tradeoff Biases From Extrapolation and Interpolation	27
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
Inference in High-Dimensional Multivariate Response Regression with Hidden Variables	24
Comments on “Data Fission: Splitting a Single Data Point”	24
Reversible Jump PDMP Samplers for Variable Selection	24
Hypothesis Tests for Structured Rank Correlation Matrices	23
Posterior Predictive Design for Phase I Clinical Trials	23
Modeling the Extremes of Bivariate Mixture Distributions With Application to Oceanographic Data	22
Covariate-Informed Latent Interaction Models: Addressing Geographic & Taxonomic Bias in Predicting Bird–Plant Interactions	21

Spectral Density Estimation for Nonstationary Data With Nonzero Mean Function	21
Inferring Causal Effect of a Digital Communication Strategy under a Latent Sequential Ignorability Assumption and Treatment Noncompliance	20
Soccer Analytics: An Introduction Using R	19
The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review	19
Node-Level Community Detection within Edge Exchangeable Models for Interaction Processes	19
A Random Projection Approach to Hypothesis Tests in High-Dimensional Single-Index Models	19
Theory of Statistical Inference	19
Two-Way Truncated Linear Regression Models with Extremely Thresholding Penalization	19
Rejoinder: LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures	18
Optimal Dynamic Treatment Regimes and Partial Welfare Ordering	18
Distributional Outcome Regression via Quantile Functions and its Application to Modelling Continuously Monitored Heart Rate and Physical Activity	18
Rejoinder: Confidence Intervals for Nonparametric Empirical Bayes Analysis	18
Coordinatewise Gaussianization: Theories and Applications	18
Rejoinder: A Scale-free Approach for False Discovery Rate Control in Generalized Linear Models	18
Estimation and Variable Selection for Interval-Censored Failure Time Data with Random Change Point and Application to Breast Cancer Study	18
Matching on Generalized Propensity Scores with Continuous Exposures	17
Covariance Estimation for Matrix-valued Data	17
Sparse Bayesian Multidimensional Item Response Theory	17
Enveloped Huber Regression	17
SPARCC: Semi-Parametric Robust Estimation in a Right-Censored Covariate Model	17
Weighted Functional Data Analysis for the Calibration of a Ground Motion Model in Italy	17
Improved bounds and inference on optimal regimes	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
Inference on the proportion of variance explained in principal component analysis	16
Bayesian Landmark-Based Shape Analysis of Tumor Pathology Images	16
Kernel Meets Sieve: Transformed Hazards Models with Sparse Longitudinal Covariates	16
eDNAPlus: A Unifying Modeling Framework for DNA-based Biodiversity Monitoring	16
Conformal Prediction for Network-Assisted Regression	16
Statistical Analytics for Health Data Science with SAS and R	16
Model-Based Machine Learning	15
Comment on: “Confidence Intervals for Nonparametric Empirical Bayes Analysis” by Ignatiadis and Wager	15
Statistical Prediction and Machine Learning	15
Efficient Estimation in the Fine and Gray Model	15
Testing Directed Acyclic Graph via Structural, Supervised and Generative Adversarial Learning	15
A Unified Inference for Predictive Quantile Regression	15
CARE: Large Precision Matrix Estimation for Compositional Data	15
Generalized Bayesian Additive Regression Trees Models: Beyond Conditional Conjugacy	15
Robust Leave-One-Out Cross-Validation for High-Dimensional Bayesian Models	14
Graphical Principal Component Analysis of Multivariate Functional Time Series	14
On the Comparative Analysis of Average Treatment Effects Estimation via Data Combination	14
Understanding Inequalities in Cancer Survival Using Bayesian Machine Learning	14
Dynamic Decision Making With Individualized Variable Selection	14
Efficient Estimation for Censored Quantile Regression	14
Models for Multi-State Survival Data: Rates, Risks, and Pseudo-Values	13
Matching One Sample According to Two Criteria in Observational Studies	13
Asymptotic Distribution-Free Independence Test for High-Dimension Data	13
Discussion of “LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures”	13
Data Fusion Using Weakly Aligned Sources	13
Joint Spectral Clustering in Multilayer Degree-Corrected Stochastic Blockmodels	13

Estimating Heterogeneous Exposure Effects in the Case-Crossover Design Using BART	13
Large-Scale Low-Rank Gaussian Process Prediction with Support Points	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
Group Network Hawkes Process	12
Minimum Resource Threshold Policy Under Partial Interference	12
Financial Data Analytics with R: Monte-Carlo Validation	12
Hypotheses Testing from Complex Survey Data Using Bootstrap Weights: A Unified Approach	12
Doubly Flexible Estimation under Label Shift	12
Functional Mixed Effects Clustering with Application to Longitudinal Urologic Chronic Pelvic Pain Syndrome Symptom Data	11
On a class of Sobolev tests for symmetry, their detection thresholds, and asymptotic powers	11
Inference for High-Dimensional Exchangeable Arrays	11
GEE-Assisted Variable Selection for Latent Variable Models with Multivariate Binary Data	11
Optimal Simulator Selection	11
A Penalized Synthetic Control Estimator for Disaggregated Data	11
Rejoinder	11
Asymmetric Error Control Under Imperfect Supervision: A Label-Noise-Adjusted Neyman–Pearson Umbrella Algorithm	11
Do We Exploit all Information for Counterfactual Analysis? Benefits of Factor Models and Idiosyncratic Correction	11
Accelerating Bayesian Structure Learning in Sparse Gaussian Graphical Models	11
Bayesian Nonparametric Common Atoms Regression for Generating Synthetic Controls in Clinical Trials	10
Estimating the Spectral Density at Frequencies Near Zero	10
Graph-Aligned Random Partition Model (GARP)	10
Discussion of “Data Fission: Splitting a Single Data Point” – Some Asymptotic Results for Data Fission	10
Probability Modeling and Statistical Inference in Cancer Screening	10
A Likelihood-Based Approach for Multivariate Categorical Response Regression in High Dimensions	10
Deep Regression for Repeated Measurements	10
Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes	10
Off-Policy Evaluation in Doubly Inhomogeneous Environments	10
Chain-linked Multiple Matrix Integration via Embedding Alignment	10
A Discussion on: “Data Fission: Splitting a Single Data Point” by Leiner, J., Duan, B., Wasserman, L. and Ramdas, A.	10
Random effects model-based sufficient dimension reduction for independent clustered data	10
Rate-Optimal Rank Aggregation with Private Pairwise Rankings	10
Spatial Variation on Multiple Scales in Line Transect Data; the Case of Antarctic Fin Whales	9
Optimal run order for order-of-addition experiments	9
Online Policy Learning and Inference by Matrix Completion	9
Bayesian Edge Regression in Undirected Graphical Models to Characterize Interpatient Heterogeneity in Cancer	9
Causal Inference for Social Network Data	9
Divide-and-Conquer: A Distributed Hierarchical Factor Approach to Modeling Large-Scale Time Series Data	9
Crowdsourcing Utilizing Subgroup Structure of Latent Factor Modeling	9
Network Inference Using the Hub Model and Variants	9
Estimation and Inference of Quantile Spatially Varying Coefficient Models Over Complicated Domains	9
Testing Mutually Exclusive Hypotheses for Multi-Response Regressions	9
Efficient Multimodal Sampling via Tempered Distribution Flow	9
Estimation and Inference of Extremal Quantile Treatment Effects for Heavy-Tailed Distributions	9
Higher-Order Accurate Two-Sample Network Inference and Network Hashing	9
Statistical Modeling with R: A Dual Frequentist and Bayesian Approach for Life Scientists	9
Classification Trees for Imbalanced Data: Surface-to-Volume Regularization	9
Comments on “Measuring Housing Vitality from Multi-Source Big Data and Machine Learning”	9
Is a Classification Procedure Good Enough?—A Goodness-of-Fit Assessment Tool for Classification Learning	9
Statistical Inference For Noisy Matrix Completion Incorporating Auxiliary Information	8
Generalized Linear Mixed Models: Modern Concepts, Methods and Applications, 2nd ed.	8
An Additive Graphical Model for Discrete Data	8
Scaled Process Priors for Bayesian Nonparametric Estimation of the Unseen Genetic Variation	8
Dynamic Treatment Regimes: Statistical Methods for Precision Medicine	8
Bayesian Spatial Blind Source Separation via the Thresholded Gaussian Process	8
Robustifying Likelihoods by Optimistically Re-weighting Data	8
Spatial Statistics for Data Science: Theory and Practice with R.,	8
Community Detection in General Hypergraph Via Graph Embedding	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
Factor Augmented Inverse Regression and its Application to Microbiome Data Analysis	8
Rejective Sampling, Rerandomization, and Regression Adjustment in Survey Experiments	8
Natural Gradient Variational Bayes Without Fisher Matrix Analytic Calculation and Its Inversion	8
Differentially Private Sliced Inverse Regression: Minimax Optimality and Algorithm	8
Policy Learning with Distributional Welfare	8
A Deep Generative Approach to Conditional Sampling	8
A Decorrelating and Debiasing Approach to Simultaneous Inference for High-Dimensional Confounded Models	8
Nonparametric Multiple-Output Center-Outward Quantile Regression	7
High-Dimensional Knockoffs Inference for Time Series Data	7
Test of Weak Separability for Spatially Stationary Functional Field	7
Quantification of Vaccine Waning as a Challenge Effect	7
Fast Network Community Detection With Profile-Pseudo Likelihood Methods	7
A Multimodal Multilevel Neuroimaging Model for Investigating Brain Connectome Development	7
A Novel Approach of High Dimensional Linear Hypothesis Testing Problem	7
Deep Fréchet Regression	7
On the poor statistical properties of the P -curve meta-analytic procedure	7
High-Dimensional Time Series Segmentation via Factor-Adjusted Vector Autoregressive Modeling	7
Compositional Graphical Lasso Resolves the Impact of Parasitic Infection on Gut Microbial Interaction Networks in a Zebrafish Model	7
Inference in Heavy-Tailed Nonstationary Multivariate Time Series	7
A Wasserstein Index of Dependence for Random Measures	7
Discovery and Inference of a Causal Network with Hidden Confounding	7

ℓ 1 -based Bayesian Ideal Point Model for Multidimensional Politics	7
Robust Regression with Covariate Filtering: Heavy Tails and Adversarial Contamination	7
On a Notion of Graph Centrality Based on L 1 Data Depth	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
When Frictions Are Fractional: Rough Noise in High-Frequency Data	7
Exact Decoding of a Sequentially Markov Coalescent Model in Genetics	7
Recommender Systems: A Review	7
High-Order Joint Embedding for Multi-Level Link Prediction	7
Deep Mutual Density Ratio Estimation with Bregman Divergence and Its Applications	7
Enhanced Response Envelope via Envelope Regularization	7
Statistical Inference for Hüsler–Reiss Graphical Models Through Matrix Completions	7
Hamiltonian-Assisted Metropolis Sampling	7
Ranking Inferences Based on the Top Choice of Multiway Comparisons	7
Permutation Tests at Nonparametric Rates	7
Estimation of Copulas via Maximum Mean Discrepancy	7
Statistical Inference with Local Optima	7
Confidently Comparing Estimates with the c-value	7
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	7
Capture-Recapture Models with Heterogeneous Temporary Emigration	7
Factor Augmented Sparse Throughput Deep ReLU Neural Networks for High Dimensional Regression	7
Manipulating an Instrumental Variable in an Observational Study of Premature Babies: Design, Bounds, and Inference	7
Mapping the Genetic-Imaging-Clinical Pathway with Applications to Alzheimer’s Disease	6
Partially Exchangeable Stochastic Block Models for (Node-Colored) Multilayer Networks	6
Testing Simultaneous Diagonalizability	6
Bayesian Inference Using the Proximal Mapping: Uncertainty Quantification Under Varying Dimensionality	6
Kernel Spectral Joint Embeddings for High-Dimensional Noisy Datasets Using Duo-Landmark Integral Operators	6
Fair Coins Tend to Land on the Same Side They Started: Evidence from 350,757 Flips	6
Tests for Large-Dimensional Shape Matrices via Tyler’s M Estimators	6
Sparse Graphical Modeling for High Dimensional Data: A Paradigm of Conditional Independence Tests	6
Discussion of “Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data”	6
Estimation and Inference for Nonparametric Expected Shortfall Regression over RKHS	6
Semi-Supervised Triply Robust Inductive Transfer Learning	6
Discussion of “Confidence Intervals for Nonparametric Empirical Bayes Analysis”	6
Fast Approximation of the Shapley Values Based on Order-of-Addition Experimental Designs	6
False Discovery Rate Control via Data Splitting	6
Understanding Implicit Regularization in Over-Parameterized Single Index Model	6
Testing Elliptical Models in High Dimensions	6
Reinforcement Learning in Latent Heterogeneous Environments	6
Conditional Separable Effects	6
Efficient Stochastic Generators with Spherical Harmonic Transformation for High-Resolution Global Climate Simulations from CESM2-LENS2	6
Inference for Dispersion and Curvature of Random Objects	6
Graphical Model Inference with Erosely Measured Data	6
Accommodating Time-Varying Heterogeneity in Risk Estimation under the Cox Model: A Transfer Learning Approach	6
Optimal Nonparametric Inference with Two-Scale Distributional Nearest Neighbors	6
Monte Carlo Inference for Semiparametric Bayesian Regression	6
PCABM: Pairwise Covariates-Adjusted Block Model for Community Detection	6
Estimating Higher-Order Mixed Memberships via the l2,∞ Tensor Perturbation Bound	6
Cohesion and Repulsion in Bayesian Distance Clustering	6
Skeleton Clustering: Dimension-Free Density-Aided Clustering	6
A Bayesian nonparametric approach to mediation and spillover effects with multiple mediators in cluster-randomized trials	6
Controlled Epidemiological Studies	6
Ridge Regression Under Dense Factor Augmented Models	6
Operationalizing Legislative Bodies: A Methodological and Empirical Perspective with a Bayesian Approach	6
Handbook of Matching and Weighting Adjustments for Causal Inference	6
Statistical Learning for Individualized Asset Allocation	6
An Efficient Coalescent Model for Heterochronously Sampled Molecular Data	6
Efficient Distributed Learning over Decentralized Networks with Convoluted Support Vector Machine*	6
Correction to: Semiparametric Inference for Non-monotone Missing-Not-at-Random Data: the No Self-Censoring Model	6
Neural Networks for Geospatial Data	6
Bayesian Bootstrap Spike-and-Slab LASSO	6