Journal of the American Statistical Association

Article	Citations
Matrix Completion Methods for Causal Panel Data Models	153
The Augmented Synthetic Control Method	147
A Penalized Synthetic Control Estimator for Disaggregated Data	74
Robust Post-Matching Inference	68
Count Time Series: A Methodological Review	58
Stochastic Gradient Markov Chain Monte Carlo	58
Graphical Models for Processing Missing Data	57
Cross-Validation: What Does It Estimate and How Well Does It Do It?	56
Matrix Completion, Counterfactuals, and Factor Analysis of Missing Data	50
An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls	49
Communication-Efficient Accurate Statistical Estimation	48
Large-Scale Hypothesis Testing for Causal Mediation Effects with Applications in Genome-wide Epigenetic Studies	41
Multivariate Rank-Based Distribution-Free Nonparametric Testing Using Measure Transportation	38
Factor Models for High-Dimensional Tensor Time Series	38
What are the Most Important Statistical Ideas of the Past 50 Years?	36
Hierarchical Community Detection by Recursive Partitioning	33
Selective Inference for Hierarchical Clustering	31
Estimating Number of Factors by Adjusted Eigenvalues Thresholding	29
Random Forests for Spatially Dependent Data	29
Prediction Intervals for Synthetic Control Methods	28
High-Dimensional Vector Autoregressive Time Series Modeling via Tensor Decomposition	28
Nonparametric Causal Effects Based on Longitudinal Modified Treatment Policies	26
Bayesian Regression Using a Prior on the Model Fit: The R2-D2 Shrinkage Prior	25
Transfer Learning Under High-Dimensional Generalized Linear Models	25
Learning When-to-Treat Policies	23

Variational Bayes for High-Dimensional Linear Regression With Sparse Priors	22
False Discovery Rate Control Under General Dependence By Symmetrized Data Aggregation	22
False Discovery Rate Control via Data Splitting	21
Model-Robust Inference for Clinical Trials that Improve Precision by Stratified Randomization and Covariate Adjustment	21
Log-Linear Bayesian Additive Regression Trees for Multinomial Logistic and Count Regression Models	21
Highly Scalable Bayesian Geostatistical Modeling via Meshed Gaussian Processes on Partitioned Domains	20
Toward Better Practice of Covariate Adjustment in Analyzing Randomized Clinical Trials	20
Investigating Clustering and Violence Interruption in Gang-Related Violent Crime Data Using Spatial–Temporal Point Processes With Covariates	20
Directed Community Detection With Network Embedding	19
A General Framework for Inference on Algorithm-Agnostic Variable Importance	19
An Invitation to Sequential Monte Carlo Samplers	19
Combining Matching and Synthetic Control to Tradeoff Biases From Extrapolation and Interpolation	17
Detecting Abrupt Changes in the Presence of Local Fluctuations and Autocorrelated Noise	17
Deep Compositional Spatial Models	17
Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data	17
Counterfactual Analysis With Artificial Controls: Inference, High Dimensions, and Nonstationarity	16
On the Properties of the Synthetic Control Estimator with Many Periods and Many Controls	16
Random Partition Models for Microclustering Tasks	16
The Effects of Stringent and Mild Interventions for Coronavirus Pandemic	16
Statistical Inference for High-Dimensional Matrix-Variate Factor Models	16
Inference in Experiments With Matched Pairs	16
Causal Inference for Social Network Data	16
On Robustness of Principal Component Regression	16
Controlling False Discovery Rate Using Gaussian Mirrors	15
The Generalized Oaxaca-Blinder Estimator	15
Wasserstein Regression	15
A Doubly Enhanced EM Algorithm for Model-Based Tensor Clustering	15
Statistical Inference for High-Dimensional Generalized Linear Models With Binary Outcomes	14
Center-Outward R-Estimation for Semiparametric VARMA Models	14
Asymptotic Theory of Eigenvectors for Random Matrices With Diverging Spikes	14
Community Detection in General Hypergraph Via Graph Embedding	13
A Scale-Free Approach for False Discovery Rate Control in Generalized Linear Models	13
Bootstrap Prediction Bands for Functional Time Series	13
Inference of Breakpoints in High-dimensional Time Series	13
First-Order Newton-Type Estimator for Distributed Estimation and Inference	13
Real-Time Regression Analysis of Streaming Clustered Data With Possible Abnormal Data Batches	13
Estimation of the Number of Spiked Eigenvalues in a Covariance Matrix by Bulk Eigenvalue Matching Analysis	13
Optimal Estimation of the Number of Network Communities	13
Experimental Evaluation of Individualized Treatment Rules	13
To Adjust or not to Adjust? Estimating the Average Treatment Effect in Randomized Experiments with Missing Covariates	13
Semi-Supervised Linear Regression	13
Individual Data Protected Integrative Regression Analysis of High-Dimensional Heterogeneous Data	12
Causal Inference in Transcriptome-Wide Association Studies with Invalid Instruments and GWAS Summary Data	12
Toward Causal Inference for Spatio-Temporal Data: Conflict and Forest Loss in Colombia	12
Distributed Estimation for Principal Component Analysis: An Enlarged Eigenspace Analysis	12
Semiparametric Inference for Nonmonotone Missing-Not-at-Random Data: The No Self-Censoring Model	12
Matching on Generalized Propensity Scores with Continuous Exposures	12
Transfer Learning in Large-Scale Gaussian Graphical Models with False Discovery Rate Control	12
Efficient Fully Distribution-Free Center-Outward Rank Tests for Multiple-Output Regression and MANOVA	11
Elucidating Age and Sex-Dependent Association Between Frontal EEG Asymmetry and Depression: An Application of Multiple Imputation in Functional Regression	11

Stochastic Tree Ensembles for Regularized Nonlinear Regression	11
A Common Atoms Model for the Bayesian Nonparametric Analysis of Nested Data	11
Bias-Adjusted Spectral Clustering in Multi-Layer Stochastic Block Models	11
Forecasting Unemployment Using Internet Search Data via PRISM	11
Threshold Selection in Feature Screening for Error Rate Control	11
Identifying Effects of Multiple Treatments in the Presence of Unmeasured Confounding	11
Online Covariance Matrix Estimation in Stochastic Gradient Descent	11
Online Estimation for Functional Data	10
Balancing Unobserved Covariates With Covariate-Adaptive Randomized Experiments	10
Accelerating Bayesian Structure Learning in Sparse Gaussian Graphical Models	10
High-Dimensional Spatial Quantile Function-on-Scalar Regression	10
Design-Based Ratio Estimators and Central Limit Theorems for Clustered, Blocked RCTs	10
Online Debiasing for Adaptively Collected High-Dimensional Data With Applications to Time Series Analysis	10
Derandomizing Knockoffs	10
On Characterizations and Tests of Benford’s Law	10
Causal Bounds for Outcome-Dependent Sampling in Observational Studies	10
Eigen Selection in Spectral Clustering: A Theory-Guided Practice	10
Randomization Tests in Observational Studies With Staggered Adoption of Treatment	10
Do We Exploit all Information for Counterfactual Analysis? Benefits of Factor Models and Idiosyncratic Correction	10
Uniform Projection Designs and Strong Orthogonal Arrays	10
Sharp Sensitivity Analysis for Inverse Propensity Weighting via Quantile Balancing	9
A Tale of Two Datasets: Representativeness and Generalisability of Inference for Samples of Networks	9
Matching One Sample According to Two Criteria in Observational Studies	9
Model-Assisted Estimation Through Random Forests in Finite Population Sampling	9
Thirty Years of The Network Scale-up Method	9
Bayesian Inference Using Synthetic Likelihood: Asymptotics and Adjustments	9
Prior-Preconditioned Conjugate Gradient Method for Accelerated Gibbs Sampling in “Large n , Large p ” Bayesian Sparse Regression	9
Tukey’s Depth for Object Data	9
Bayesian Edge Regression in Undirected Graphical Models to Characterize Interpatient Heterogeneity in Cancer	9
Filtering the Rejection Set While Preserving False Discovery Rate Control	9
Copula Regression for Compound Distributions with Endogenous Covariates with Applications in Insurance Deductible Pricing	9
LAWS: A Locally Adaptive Weighting and Screening Approach to Spatial Multiple Testing	9
Approximate Selective Inference via Maximum Likelihood	9
A Gibbs Sampler for a Class of Random Convex Polytopes	8
A Versatile Estimation Procedure Without Estimating the Nonignorable Missingness Mechanism	8
Mapping the Genetic-Imaging-Clinical Pathway with Applications to Alzheimer’s Disease	8
Simultaneous Inference for Empirical Best Predictors With a Poverty Study in Small Areas	8
Statistical Inference for Online Decision Making via Stochastic Gradient Descent	8
Conditional Separable Effects	8
Bayesian Conjugacy in Probit, Tobit, Multinomial Probit and Extensions: A Review and New Results	8
Exponential-Family Embedding With Application to Cell Developmental Trajectories for Single-Cell RNA-Seq Data	8
Semiparametric Proximal Causal Inference	8
Risk Projection for Time-to-Event Outcome Leveraging Summary Statistics With Source Individual-Level Data	8
Adaptive Inference for Change Points in High-Dimensional Data	8
Integrative Factor Regression and Its Inference for Multimodal Data Analysis	8
On the Hauck–Donner Effect in Wald Tests: Detection, Tipping Points, and Parameter Space Characterization	8
Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations	8
Bayesian Bootstrap Spike-and-Slab LASSO	8
Modeling the Extremes of Bivariate Mixture Distributions With Application to Oceanographic Data	8
The Interplay of Demographic Variables and Social Distancing Scores in Deep Prediction of U.S. COVID-19 Cases	8
Multifile Partitioning for Record Linkage and Duplicate Detection	8
Intraday Periodic Volatility Curves	8
Neuronized Priors for Bayesian Sparse Linear Regression	8
Power-Enhanced Simultaneous Test of High-Dimensional Mean Vectors and Covariance Matrices with Application to Gene-Set Testing	8
Kernel Ordinary Differential Equations	8
Generalized Bayes Quantification Learning under Dataset Shift	8
Statistical Modeling for Spatio-Temporal Data From Stochastic Convection-Diffusion Processes	8
Sensitivity Analysis via the Proportion of Unmeasured Confounding	8
Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework	8
Modeling High-Dimensional Time Series: A Factor Model With Dynamically Dependent Factors and Diverging Eigenvalues	7
Inference for High-Dimensional Censored Quantile Regression	7
Modeling Time-Varying Random Objects and Dynamic Networks	7
Evaluating Association Between Two Event Times with Observations Subject to Informative Censoring	7
Linear-Cost Covariance Functions for Gaussian Random Fields	7
Regression Discontinuity Designs With a Continuous Treatment	7
Efficient Estimation for Random Dot Product Graphs via a One-Step Procedure	7
Learning Latent Factors From Diversified Projections and Its Applications to Over-Estimated and Weak Factors	7
Single-index Thresholding in Quantile Regression	7
Assumption-Lean Cox Regression	7
Fast Network Community Detection With Profile-Pseudo Likelihood Methods	7
Consistent Sparse Deep Learning: Theory and Computation	7
A Cross-Validated Ensemble Approach to Robust Hypothesis Testing of Continuous Nonlinear Interactions: Application to Nutrition-Environment Studies	7
Estimation and Inference for High-Dimensional Generalized Linear Models with Knowledge Transfer	7
A Joint MLE Approach to Large-Scale Structured Latent Attribute Analysis	7
Optimal Linear Discriminant Analysis for High-Dimensional Functional Data	7
Multicategory Angle-Based Learning for Estimating Optimal Dynamic Treatment Regimes With Censored Data	7
Multiscale Quantile Segmentation	7
Learning Coefficient Heterogeneity over Networks: A Distributed Spanning-Tree-Based Fused-Lasso Regression	7
Policy Optimization Using Semiparametric Models for Dynamic Pricing	7
Rerandomization in Stratified Randomized Experiments	7

Marginalized Frailty-Based Illness-Death Model: Application to the UK-Biobank Survival Data	7
Model-Free Conditional Feature Screening with FDR Control	7
Estimation of Optimal Individualized Treatment Rules Using a Covariate-Specific Treatment Effect Curve With High-Dimensional Covariates	7
Independence Weights for Causal Inference with Continuous Treatments	7
Inference for High-Dimensional Linear Mixed-Effects Models: A Quasi-Likelihood Approach	7
Heterogeneous Mediation Analysis on Epigenomic PTSD and Traumatic Stress in a Predominantly African American Cohort	7
Optimal Dynamic Treatment Regimes and Partial Welfare Ordering	7
Network Functional Varying Coefficient Model	7
A Zero-Inflated Logistic Normal Multinomial Model for Extracting Microbial Compositions	6
Robust Validation: Confident Predictions Even When Distributions Shift	6
Partially Observed Dynamic Tensor Response Regression	6
Functional Time Series Prediction Under Partial Observation of the Future Curve	6
Inference for High-Dimensional Exchangeable Arrays	6
Poisson-FOCuS: An Efficient Online Method for Detecting Count Bursts with Application to Gamma Ray Burst Detection	6
Testing Mediation Effects Using Logic of Boolean Matrices	6
Multivariate Temporal Point Process Regression	6
Modeling Recurrent Failures on Large Directed Networks	6
Conformal Sensitivity Analysis for Individual Treatment Effects	6
Fast, Optimal, and Targeted Predictions Using Parameterized Decision Analysis	6
Modeling Multiple Time-Varying Related Groups: A Dynamic Hierarchical Bayesian Approach With an Application to the Health and Retirement Study	6
Variable Selection Via Thompson Sampling	6
A Model-free Variable Screening Method Based on Leverage Score	6
Parametric Modeling of Quantile Regression Coefficient Functions With Longitudinal Data	6
Simultaneous Detection of Signal Regions Using Quadratic Scan Statistics With Applications to Whole Genome Association Studies	6
Are Latent Factor Regression and Sparse Regression Adequate?	6
Latent Gaussian Count Time Series	6
Markov Neighborhood Regression for High-Dimensional Inference	6
Heteroscedasticity-Robust Inference in Linear Regression Models With Many Covariates	6
Robust Two-Step Wavelet-Based Inference for Time Series Models	6
Distributional (Single) Index Models	6
An Automated Approach to Causal Inference in Discrete Settings	6
Gaining Outlier Resistance With Progressive Quantiles: Fast Algorithms and Theoretical Studies	6
High-Dimensional Mediation Analysis for Selecting DNA Methylation Loci Mediating Childhood Trauma and Cortisol Stress Reactivity	6
Functional Sequential Treatment Allocation	6
What is a Randomization Test?	6
Bagged Filters for Partially Observed Interacting Systems	6
Topic Modeling on Triage Notes With Semiorthogonal Nonnegative Matrix Factorization	6
On Constraining Projections of Future Climate Using Observations and Simulations From Multiple Climate Models	6
Kernel Knockoffs Selection for Nonparametric Additive Models	6
LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures	6
Treatment Effect Estimation Under Additive Hazards Models With High-Dimensional Confounding	6
Extremile Regression	6
Functional Mixed Effects Clustering with Application to Longitudinal Urologic Chronic Pelvic Pain Syndrome Symptom Data	6
A Multi-resolution Theory for Approximating Infinite-p-Zero-n: Transitional Inference, Individualized Predictions, and a World Without Bias-Variance Tradeoff	6
Bootstrap Inference for Quantile-based Modal Regression	6
Bayesian Framework for Simultaneous Registration and Estimation of Noisy, Sparse, and Fragmented Functional Data	5
Comment: Individualized Treatment Rules Under Endogeneity	5
Fisher-Pitman Permutation Tests Based on Nonparametric Poisson Mixtures with Application to Single Cell Genomics	5
A Flexible Zero-Inflated Poisson-Gamma Model with Application to Microbiome Sequence Count Data	5
Score-Driven Modeling of Spatio-Temporal Data	5
High-Dimensional Time Series Segmentation via Factor-Adjusted Vector Autoregressive Modeling	5
Inter-Subject Analysis: A Partial Gaussian Graphical Model Approach	5
RaSE: A Variable Screening Framework via Random Subspace Ensembles	5
Crime in Philadelphia: Bayesian Clustering with Particle Optimization	5
Regression Analysis of Asynchronous Longitudinal Functional and Scalar Data	5
Discovering Heterogeneous Exposure Effects Using Randomization Inference in Air Pollution Studies	5
Estimating Optimal Infinite Horizon Dynamic Treatment Regimes via pT-Learning	5
High-Dimensional Precision Medicine From Patient-Derived Xenografts	5
The Cellwise Minimum Covariance Determinant Estimator	5
Beyond Matérn: On A Class of Interpretable Confluent Hypergeometric Covariance Functions	5
Bayesian Inferences on Neural Activity in EEG-Based Brain-Computer Interface	5
Discrepancy Between Global and Local Principal Component Analysis on Large-Panel High-Frequency Data	5
Fairness-Oriented Learning for Optimal Individualized Treatment Rules	5
A Deep Generative Approach to Conditional Sampling	5
Balancing Covariates in Randomized Experiments with the Gram–Schmidt Walk Design	5
Large Scale Prediction with Decision Trees	5
Independent Nonlinear Component Analysis	5
Causal Spillover Effects Using Instrumental Variables	5
Minimax Efficient Random Experimental Design Strategies With Application to Model-Robust Design for Prediction	5
Nonlinear Spectral Analysis: A Local Gaussian Approach	5
High-Dimensional Gaussian Graphical Regression Models with Covariates	5
Balancing Inferential Integrity and Disclosure Risk Via Model Targeted Masking and Multiple Imputation	5
Adversarial Machine Learning: Bayesian Perspectives	5
Dynamic Stochastic Blockmodel Regression for Network Data: Application to International Militarized Conflicts	5
Adaptive Conditional Distribution Estimation with Bayesian Decision Tree Ensembles	5
Sparse Identification and Estimation of Large-Scale Vector AutoRegressive Moving Averages	5
BAGS: A Bayesian Adaptive Group Sequential Trial Design With Subgroup-Specific Survival Comparisons	5
Modeling Point Referenced Spatial Count Data: A Poisson Process Approach	5
Feature Screening for Interval-Valued Response with Application to Study Association between Posted Salary and Required Skills	5
Earthquake Risk Embedded in Property Prices: Evidence From Five Japanese Cities	5
Generalized Low-Rank Plus Sparse Tensor Estimation by Fast Riemannian Optimization	5
Finite-dimensional Discrete Random Structures and Bayesian Clustering	5
Ultra-High Dimensional Quantile Regression for Longitudinal Data: An Application to Blood Pressure Analysis	5
Extremal Random Forests	5