Journal of the American Statistical Association

Article	Citations
Classified Mixed Model Projections	159
Correction to “Modeling Time-Varying Random Objects and Dynamic Networks”	112
Analysis of Variance of Tensor Product Reproducing Kernel Hilbert Spaces on Metric Spaces	73
Greedy Segmentation for a Functional Data Sequence	61
Coverage Properties of Empirical Bayes Intervals: A Discussion of “Confidence Intervals for Nonparametric Empirical Bayes Analysis” by Ignatiadis and Wager	58
U-Statistic Reduction: Higher-Order Accurate Risk Control and Statistical-Computational Trade-Off	52
Handbook of Bayesian, Fiducial, and Frequentist Inference	45
Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process	43
A Semiparametric Inverse Reinforcement Learning Approach to Characterize Decision Making for Mental Disorders	39
On Robustness of Individualized Decision Rules	37
Subspace Estimation with Automatic Dimension and Variable Selection in Sufficient Dimension Reduction	37
In Nonparametric and High-Dimensional Models, Bayesian Ignorability is an Informative Prior	37
Combining Matching and Synthetic Control to Tradeoff Biases From Extrapolation and Interpolation	37
Bayesian Conditional Transformation Models	32
Kernel Estimation of Bivariate Time-Varying Coefficient Model for Longitudinal Data with Terminal Event	31
Censored Interquantile Regression Model with Time-Dependent Covariates	31
Estimation and Variable Selection for Interval-Censored Failure Time Data with Random Change Point and Application to Breast Cancer Study	30
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	30
Reversible Jump PDMP Samplers for Variable Selection	29
Comments on “Data Fission: Splitting a Single Data Point”	28
Coordinatewise Gaussianization: Theories and Applications	25
Inference in High-Dimensional Multivariate Response Regression with Hidden Variables	25
The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review	25
Posterior Predictive Design for Phase I Clinical Trials	24
Spectral Density Estimation for Nonstationary Data With Nonzero Mean Function	23

Enveloped Huber Regression	23
Modeling the Extremes of Bivariate Mixture Distributions With Application to Oceanographic Data	23
Node-Level Community Detection within Edge Exchangeable Models for Interaction Processes	22
Covariate-Informed Latent Interaction Models: Addressing Geographic & Taxonomic Bias in Predicting Bird–Plant Interactions	22
Inferring Causal Effect of a Digital Communication Strategy under a Latent Sequential Ignorability Assumption and Treatment Noncompliance	20
Rejoinder: Confidence Intervals for Nonparametric Empirical Bayes Analysis	19
Rejoinder: A Scale-free Approach for False Discovery Rate Control in Generalized Linear Models	19
Soccer Analytics: An Introduction Using R	19
Rejoinder: LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures	19
Hypothesis Tests for Structured Rank Correlation Matrices	18
Distributional Outcome Regression via Quantile Functions and its Application to Modelling Continuously Monitored Heart Rate and Physical Activity	18
Sparse Identification and Estimation of Large-Scale Vector AutoRegressive Moving Averages	18
Sparse Bayesian Multidimensional Item Response Theory	18
Bootstrap Prediction Bands for Functional Time Series	17
Theory of Statistical Inference	17
Matching on Generalized Propensity Scores with Continuous Exposures	17
A Random Projection Approach to Hypothesis Tests in High-Dimensional Single-Index Models	17
Optimal Dynamic Treatment Regimes and Partial Welfare Ordering	17
Covariance Estimation for Matrix-valued Data	16
A Feasibility Study of Differentially Private Summary Statistics and Regression Analyses with Evaluations on Administrative and Survey Data	16
Matrix Completion, Counterfactuals, and Factor Analysis of Missing Data	16
Conformal Prediction for Network-Assisted Regression	16
Network Varying Coefficient Model	16
eDNAPlus: A Unifying Modeling Framework for DNA-based Biodiversity Monitoring	16
A Unified Inference for Predictive Quantile Regression	16
Statistical Analytics for Health Data Science with SAS and R	16
Two-Way Truncated Linear Regression Models with Extremely Thresholding Penalization	16
Bayesian Landmark-Based Shape Analysis of Tumor Pathology Images	16
Efficient Estimation in the Fine and Gray Model	16
Model-Based Machine Learning	15
Testing Directed Acyclic Graph via Structural, Supervised and Generative Adversarial Learning	15
Generalized Bayesian Additive Regression Trees Models: Beyond Conditional Conjugacy	15
CARE: Large Precision Matrix Estimation for Compositional Data	15
Comment on: “Confidence Intervals for Nonparametric Empirical Bayes Analysis” by Ignatiadis and Wager	15
Graphical Principal Component Analysis of Multivariate Functional Time Series	14
On the Comparative Analysis of Average Treatment Effects Estimation via Data Combination	14
Statistical Prediction and Machine Learning	14
Efficient Estimation for Censored Quantile Regression	14
Weighted Functional Data Analysis for the Calibration of a Ground Motion Model in Italy	14
Variable Selection for Global Fréchet Regression	14
Inference for High-Dimensional Exchangeable Arrays	13
Individualized Group Learning	13
Models for Multi-State Survival Data: Rates, Risks, and Pseudo-Values	13
Kernel Meets Sieve: Transformed Hazards Models with Sparse Longitudinal Covariates	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
Improved bounds and inference on optimal regimes	13
Matching One Sample According to Two Criteria in Observational Studies	12
Data Fusion Using Weakly Aligned Sources	12
Financial Data Analytics with R: Monte-Carlo Validation.	12

Rejoinder	12
Asymptotic Distribution-Free Independence Test for High-Dimension Data	12
Joint Spectral Clustering in Multilayer Degree-Corrected Stochastic Blockmodels	12
Doubly Flexible Estimation under Label Shift	12
Stochastic Tree Ensembles for Regularized Nonlinear Regression	12
Do We Exploit all Information for Counterfactual Analysis? Benefits of Factor Models and Idiosyncratic Correction	12
Assessing the Most Vulnerable Subgroup to Type II Diabetes Associated with Statin Usage: Evidence from Electronic Health Record Data	12
Estimating Heterogeneous Exposure Effects in the Case-Crossover Design Using BART	12
Minimum Resource Threshold Policy Under Partial Interference	12
Group Network Hawkes Process	12
Accelerating Bayesian Structure Learning in Sparse Gaussian Graphical Models	12
Large-Scale Low-Rank Gaussian Process Prediction with Support Points	11
GEE-Assisted Variable Selection for Latent Variable Models with Multivariate Binary Data	11
Optimal Simulator Selection	11
Functional Estimation and Change Detection for Nonstationary Time Series	11
Hypotheses Testing from Complex Survey Data Using Bootstrap Weights: A Unified Approach	11
A Penalized Synthetic Control Estimator for Disaggregated Data	11
On Semiparametrically Dynamic Functional-Coefficient Autoregressive Spatio-Temporal Models with Irregular Location Wide Nonstationarity	11
Functional Mixed Effects Clustering with Application to Longitudinal Urologic Chronic Pelvic Pain Syndrome Symptom Data	11
Asymmetric Error Control Under Imperfect Supervision: A Label-Noise-Adjusted Neyman–Pearson Umbrella Algorithm	11
Crowdsourcing Utilizing Subgroup Structure of Latent Factor Modeling	10
A Likelihood-Based Approach for Multivariate Categorical Response Regression in High Dimensions	10
Estimating the Spectral Density at Frequencies Near Zero	10
Estimation and Inference of Extremal Quantile Treatment Effects for Heavy-Tailed Distributions	10
Discussion of “Data Fission: Splitting a Single Data Point” – Some Asymptotic Results for Data Fission	10
A Discussion on: “Data Fission: Splitting a Single Data Point” by Leiner, J., Duan, B., Wasserman, L. and Ramdas, A.	10
Efficient Multimodal Sampling via Tempered Distribution Flow	10
Deep Regression for Repeated Measurements	10
Probability Modeling and Statistical Inference in Cancer Screening	10
Random effects model-based sufficient dimension reduction for independent clustered data	10
Graph-Aligned Random Partition Model (GARP)	10
Is a Classification Procedure Good Enough?—A Goodness-of-Fit Assessment Tool for Classification Learning	10
Higher-order accurate two-sample network inference and network hashing	10
Bayesian Nonparametric Common Atoms Regression for Generating Synthetic Controls in Clinical Trials	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
Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution Under Random Designs	9
An Additive Graphical Model for Discrete Data	9
Robustifying Likelihoods by Optimistically Re-weighting Data	9
Statistical Inference For Noisy Matrix Completion Incorporating Auxiliary Information	9
Rate-Optimal Rank Aggregation with Private Pairwise Rankings	9
Comments on “Measuring Housing Vitality from Multi-Source Big Data and Machine Learning”	9
Scaled Process Priors for Bayesian Nonparametric Estimation of the Unseen Genetic Variation	9
Off-Policy Evaluation in Doubly Inhomogeneous Environments	9
Causal Inference for Social Network Data	9
Bayesian Spatial Blind Source Separation via the Thresholded Gaussian Process	9
Natural Gradient Variational Bayes Without Fisher Matrix Analytic Calculation and Its Inversion	9
Factor Augmented Inverse Regression and its Application to Microbiome Data Analysis	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
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
Bayesian Edge Regression in Undirected Graphical Models to Characterize Interpatient Heterogeneity in Cancer	8
Counterfactual Analysis With Artificial Controls: Inference, High Dimensions, and Nonstationarity	8
Rejective Sampling, Rerandomization, and Regression Adjustment in Survey Experiments	8
Online Policy Learning and Inference by Matrix Completion	8
Capture-Recapture Models with Heterogeneous Temporary Emigration	8
Statistical Modeling with R: A Dual Frequentist and Bayesian Approach for Life Scientists	8
Estimation and Inference of Quantile Spatially Varying Coefficient Models Over Complicated Domains	8
Spatial Statistics for Data Science: Theory and Practice with R.,	8
Generalized Linear Mixed Models: Modern Concepts, Methods and Applications, 2nd ed.	8
A Deep Generative Approach to Conditional Sampling	8
Dynamic Treatment Regimes: Statistical Methods for Precision Medicine	8
Collaborative Multilabel Classification	8
Community Detection in General Hypergraph Via Graph Embedding	8
Classification Trees for Imbalanced Data: Surface-to-Volume Regularization	8
Testing Mutually Exclusive Hypotheses for Multi-Response Regressions	8
Network Inference Using the Hub Model and Variants	8
A Decorrelating and Debiasing Approach to Simultaneous Inference for High-Dimensional Confounded Models	8
Quantification of Vaccine Waning as a Challenge Effect	7
Communication-Efficient Accurate Statistical Estimation	7
Test of Weak Separability for Spatially Stationary Functional Field	7
Enhanced Response Envelope via Envelope Regularization	7
Manipulating an Instrumental Variable in an Observational Study of Premature Babies: Design, Bounds, and Inference	7
High-Order Joint Embedding for Multi-Level Link Prediction	7
ℓ 1 -based Bayesian Ideal Point Model for Multidimensional Politics	7
On a Notion of Graph Centrality Based on L1 Data Depth	7
Ranking Inferences Based on the Top Choice of Multiway Comparisons	7
A Novel Approach of High Dimensional Linear Hypothesis Testing Problem	7
Statistical Inference with Local Optima	7
Factor Augmented Sparse Throughput Deep ReLU Neural Networks for High Dimensional Regression	7
Confidently Comparing Estimates with the c-value	7

High-Dimensional Time Series Segmentation via Factor-Adjusted Vector Autoregressive Modeling	7
Nonparametric Multiple-Output Center-Outward Quantile Regression	7
Discovery and Inference of a Causal Network with Hidden Confounding	7
Deep Mutual Density Ratio Estimation with Bregman Divergence and Its Applications	7
Recommender Systems: A Review	7
Unified Unconditional Regression for Multivariate Quantiles, M-Quantiles, and Expectiles	7
Exact Decoding of a Sequentially Markov Coalescent Model in Genetics	7
A Reproducing Kernel Hilbert Space Approach to Functional Calibration of Computer Models	7
Structural Equation Modeling Using R/SAS: A Step-by-Step Approach with Real Data Analysis	7
Hamiltonian-Assisted Metropolis Sampling	7
Statistical Inference for Hüsler–Reiss Graphical Models Through Matrix Completions	7
PCABM: Pairwise Covariates-Adjusted Block Model for Community Detection	7
A Wasserstein Index of Dependence for Random Measures	7
Permutation Tests at Nonparametric Rates	7
A Multimodal Multilevel Neuroimaging Model for Investigating Brain Connectome Development	7
Estimation of Copulas via Maximum Mean Discrepancy	7
Deep Fréchet Regression	7
When Frictions Are Fractional: Rough Noise in High-Frequency Data	7
Operationalizing Legislative Bodies: A Methodological and Empirical Perspective with a Bayesian Approach	6
Statistical Learning for Individualized Asset Allocation	6
Bayesian Bootstrap Spike-and-Slab LASSO	6
Sparse Graphical Modeling for High Dimensional Data: A Paradigm of Conditional Independence Tests	6
Fair Coins Tend to Land on the Same Side They Started: Evidence from 350,757 Flips	6
Bayesian Inference Using the Proximal Mapping: Uncertainty Quantification Under Varying Dimensionality	6
Estimation and Inference for Nonparametric Expected Shortfall Regression over RKHS	6
Robust Regression with Covariate Filtering: Heavy Tails and Adversarial Contamination	6
Inference in Heavy-Tailed Nonstationary Multivariate Time Series	6
Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations	6
Testing Elliptical Models in High Dimensions	6
Tests for Large-Dimensional Shape Matrices via Tyler’s M Estimators	6
False Discovery Rate Control via Data Splitting	6
Fast Approximation of the Shapley Values Based on Order-of-Addition Experimental Designs	6
Neural Networks for Geospatial Data	6
Estimating Higher-Order Mixed Memberships via the l2,∞ Tensor Perturbation Bound	6
An Efficient Coalescent Model for Heterochronously Sampled Molecular Data	6
High-Dimensional Knockoffs Inference for Time Series Data	6
Compositional Graphical Lasso Resolves the Impact of Parasitic Infection on Gut Microbial Interaction Networks in a Zebrafish Model	6
Handbook of Matching and Weighting Adjustments for Causal Inference	6
Accommodating Time-Varying Heterogeneity in Risk Estimation under the Cox Model: A Transfer Learning Approach	6
Efficient Stochastic Generators with Spherical Harmonic Transformation for High-Resolution Global Climate Simulations from CESM2-LENS2	6
Graphical Model Inference with Erosely Measured Data	6
Nonparametric Bounds for Causal Effects in Imperfect Randomized Experiments	6
Conditional Separable Effects	6
Monte Carlo Inference for Semiparametric Bayesian Regression	6
Ridge Regression Under Dense Factor Augmented Models	6
Optimal Nonparametric Inference with Two-Scale Distributional Nearest Neighbors	6
Discussion of “Confidence Intervals for Nonparametric Empirical Bayes Analysis”	6
Fast Network Community Detection With Profile-Pseudo Likelihood Methods	6
Correction to: Semiparametric Inference for Non-monotone Missing-Not-at-Random Data: the No Self-Censoring Model	6
Semi-Supervised Triply Robust Inductive Transfer Learning	6
Network Structure Learning Under Uncertain Interventions	5
Rejoinder	5
Poisson-FOCuS: An Efficient Online Method for Detecting Count Bursts with Application to Gamma Ray Burst Detection. Rejoinder	5
Kernel Spectral Joint Embeddings for High-Dimensional Noisy Datasets using Duo-Landmark Integral Operators	5
Degree-Heterogeneous Latent Class Analysis for High-Dimensional Discrete Data	5
Dynamic Matrix Recovery	5
Discussion of “Measuring Housing Vitality from Multi-Source Big Data and Machine Learning”	5
Reinforcement Learning in Latent Heterogeneous Environments	5
Derandomizing Knockoffs	5
Testing Simultaneous Diagonalizability	5
Neyman-Pearson Multi-Class Classification via Cost-Sensitive Learning	5
Causal Inference in Transcriptome-Wide Association Studies with Invalid Instruments and GWAS Summary Data	5
Checking the Cox Proportional Hazards Model with Interval-Censored Data	5
Distribution of Distances based Object Matching: Asymptotic Inference	5
Evaluating Association Between Two Event Times with Observations Subject to Informative Censoring	5
Combining Broad and Narrow Case Definitions in Matched Case-Control Studies: Firearms in the Home and Suicide Risk	5
Design-Based Causal Inference with Missing Outcomes: Missingness Mechanisms, Imputation-Assisted Randomization Tests, and Covariate Adjustment	5
Hub Detection in Gaussian Graphical Models	5
Partially Exchangeable Stochastic Block Models for (Node-Colored) Multilayer Networks	5
Discussion of “Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data”	5
Mapping the Genetic-Imaging-Clinical Pathway with Applications to Alzheimer’s Disease	5
Understanding Implicit Regularization in Over-Parameterized Single Index Model	5
Ultra-High Dimensional Quantile Regression for Longitudinal Data: An Application to Blood Pressure Analysis	5
Doubly Robust Augmented Model Accuracy Transfer Inference with High Dimensional Features	5
Automatic Regenerative Simulation via Non-Reversible Simulated Tempering	5
Discussion of “Data Fission: Splitting a Single Data Point” by Leiner et al.	5
New Estimands for Experiments with Strong Interference	5
High-Dimensional Expected Shortfall Regression	5
Discussion of “A Tale of Two Datasets: Representativeness and Generalisability of Inference for Samples of Networks”	5
Learning Topic Models: Identifiability and Finite-Sample Analysis	5
Cohesion and Repulsion in Bayesian Distance Clustering	5
Controlled Epidemiological Studies	5
Skeleton Clustering: Dimension-Free Density-Aided Clustering	5
GeoWarp: Warped Spatial Processes for Inferring Subsea Sediment Properties	5
Model-Robust Inference for Clinical Trials that Improve Precision by Stratified Randomization and Covariate Adjustment	5
Covariate-Assisted Bayesian Graph Learning for Heterogeneous Data	4
Hypothesis Testing for a Functional Parameter via Self-Normalization	4
Approximate Selective Inference via Maximum Likelihood	4
Adaptive Functional Thresholding for Sparse Covariance Function Estimation in High Dimensions	4
Testing the Number of Common Factors by Bootstrapped Sample Covariance Matrix in High-Dimensional Factor Models	4
Score-Driven Modeling of Spatio-Temporal Data	4
A Smoothed-Bayesian Approach to Frequency Recovery from Sketched Data	4
Copula Modeling of Serially Correlated Multivariate Data with Hidden Structures	4
Sobolev Calibration of Imperfect Computer Models	4
Model-Based Clustering of Categorical Data Based on the Hamming Distance	4