Statistical Science

Papers
(The TQCC of Statistical Science is 5. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-03-01 to 2024-03-01.)
ArticleCitations
Outcome-Wide Longitudinal Designs for Causal Inference: A New Template for Empirical Studies109
A General Framework for Vecchia Approximations of Gaussian Processes72
The Box–Cox Transformation: Review and Extensions51
Exponential-Family Models of Random Graphs: Inference in Finite, Super and Infinite Population Scenarios45
A Selective Overview of Deep Learning39
Revisiting the Gelman–Rubin Diagnostic33
Best Subset, Forward Stepwise or Lasso? Analysis and Recommendations Based on Extensive Comparisons31
The Dependent Dirichlet Process and Related Models24
Additive and Multiplicative Effects Network Models23
Invariance, Causality and Robustness23
In Defense of the Indefensible: A Very Naïve Approach to High-Dimensional Inference23
Robust High-Dimensional Factor Models with Applications to Statistical Machine Learning18
Convex Relaxation Methods for Community Detection17
The GENIUS Approach to Robust Mendelian Randomization Inference17
Analyzing Stochastic Computer Models: A Review with Opportunities16
A Unified Primal Dual Active Set Algorithm for Nonconvex Sparse Recovery16
Comparative Study of Differentially Private Data Synthesis Methods16
Testing Randomness Online14
Choosing Among Notions of Multivariate Depth Statistics13
Bipartite Causal Inference with Interference13
Minimax Rates in Network Analysis: Graphon Estimation, Community Detection and Hypothesis Testing11
Statistical Dependence: Beyond Pearson’s ρ11
A Horse Race between the Block Maxima Method and the Peak–over–Threshold Approach11
Maximum Likelihood Multiple Imputation: Faster Imputations and Consistent Standard Errors Without Posterior Draws11
Judicious Judgment Meets Unsettling Updating: Dilation, Sure Loss and Simpson’s Paradox11
Sparse Regression: Scalable Algorithms and Empirical Performance11
Checking for Prior-Data Conflict Using Prior-to-Posterior Divergences10
Game-Theoretic Statistics and Safe Anytime-Valid Inference10
Challenges in Markov Chain Monte Carlo for Bayesian Neural Networks10
A General Framework for the Analysis of Adaptive Experiments10
Stein’s Method Meets Computational Statistics: A Review of Some Recent Developments9
A Problem in Forensic Science Highlighting the Differences between the Bayes Factor and Likelihood Ratio9
Response-Adaptive Randomization in Clinical Trials: From Myths to Practical Considerations9
LGM Split Sampler: An Efficient MCMC Sampling Scheme for Latent Gaussian Models8
Symmetrical and Non-symmetrical Variants of Three-Way Correspondence Analysis for Ordered Variables7
Equitability, Interval Estimation, and Statistical Power7
A Look at Robustness and Stability of $\ell_{1}$-versus $\ell_{0}$-Regularization: Discussion of Papers by Bertsimas et al. and Hastie et al.7
Matching Methods for Observational Studies Derived from Large Administrative Databases7
On Estimation and Inference in Latent Structure Random Graphs7
Gambler’s Ruin and the ICM6
On General Notions of Depth for Regression6
Real-Time Estimation of COVID-19 Infections: Deconvolution and Sensor Fusion6
Confidence as Likelihood6
Statistical Modeling for Practical Pooled Testing During the COVID-19 Pandemic6
Aitchison’s Compositional Data Analysis 40 Years on: A Reappraisal6
Identification of Causal Effects Within Principal Strata Using Auxiliary Variables5
Additive Bayesian Variable Selection under Censoring and Misspecification5
The SPDE Approach to Matérn Fields: Graph Representations5
Network Modeling in Biology: Statistical Methods for Gene and Brain Networks5
Linear Mixed Models with Endogenous Covariates: Modeling Sequential Treatment Effects with Application to a Mobile Health Study5
Power Calculations for Replication Studies5
Statistical Challenges in Tracking the Evolution of SARS-CoV-25
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