OOIR: Observatory of International Research

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 2020-05-01 to 2024-05-01.)

Article	Citations
Outcome-Wide Longitudinal Designs for Causal Inference: A New Template for Empirical Studies	117
A General Framework for Vecchia Approximations of Gaussian Processes	76
The Box–Cox Transformation: Review and Extensions	56
Exponential-Family Models of Random Graphs: Inference in Finite, Super and Infinite Population Scenarios	47
A Selective Overview of Deep Learning	42
Best Subset, Forward Stepwise or Lasso? Analysis and Recommendations Based on Extensive Comparisons	37
Revisiting the Gelman–Rubin Diagnostic	35
The Dependent Dirichlet Process and Related Models	27
Invariance, Causality and Robustness	25
Additive and Multiplicative Effects Network Models	25
In Defense of the Indefensible: A Very Naïve Approach to High-Dimensional Inference	25
The GENIUS Approach to Robust Mendelian Randomization Inference	20
Robust High-Dimensional Factor Models with Applications to Statistical Machine Learning	18
Analyzing Stochastic Computer Models: A Review with Opportunities	18
Convex Relaxation Methods for Community Detection	17
Comparative Study of Differentially Private Data Synthesis Methods	17
Choosing Among Notions of Multivariate Depth Statistics	16
A Unified Primal Dual Active Set Algorithm for Nonconvex Sparse Recovery	16
Testing Randomness Online	14
Bipartite Causal Inference with Interference	13
Statistical Dependence: Beyond Pearson’s ρ	12
Judicious Judgment Meets Unsettling Updating: Dilation, Sure Loss and Simpson’s Paradox	12
Maximum Likelihood Multiple Imputation: Faster Imputations and Consistent Standard Errors Without Posterior Draws	11
Sparse Regression: Scalable Algorithms and Empirical Performance	11
Challenges in Markov Chain Monte Carlo for Bayesian Neural Networks	11

A Horse Race between the Block Maxima Method and the Peak–over–Threshold Approach	11
Checking for Prior-Data Conflict Using Prior-to-Posterior Divergences	11
Minimax Rates in Network Analysis: Graphon Estimation, Community Detection and Hypothesis Testing	11
Game-Theoretic Statistics and Safe Anytime-Valid Inference	10
A General Framework for the Analysis of Adaptive Experiments	10
A Problem in Forensic Science Highlighting the Differences between the Bayes Factor and Likelihood Ratio	9
Response-Adaptive Randomization in Clinical Trials: From Myths to Practical Considerations	9
Stein’s Method Meets Computational Statistics: A Review of Some Recent Developments	9
Symmetrical and Non-symmetrical Variants of Three-Way Correspondence Analysis for Ordered Variables	8
On Estimation and Inference in Latent Structure Random Graphs	8
Real-Time Estimation of COVID-19 Infections: Deconvolution and Sensor Fusion	8
LGM Split Sampler: An Efficient MCMC Sampling Scheme for Latent Gaussian Models	8
Aitchison’s Compositional Data Analysis 40 Years on: A Reappraisal	8
Matching Methods for Observational Studies Derived from Large Administrative Databases	7
Equitability, Interval Estimation, and Statistical Power	7
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
Statistical Modeling for Practical Pooled Testing During the COVID-19 Pandemic	7
On General Notions of Depth for Regression	7
Statistical Challenges in Tracking the Evolution of SARS-CoV-2	6
Confidence as Likelihood	6
Gambler’s Ruin and the ICM	6
Identification of Causal Effects Within Principal Strata Using Auxiliary Variables	5
Linear Mixed Models with Endogenous Covariates: Modeling Sequential Treatment Effects with Application to a Mobile Health Study	5
The SPDE Approach to Matérn Fields: Graph Representations	5
Network Modeling in Biology: Statistical Methods for Gene and Brain Networks	5
Interoperability of Statistical Models in Pandemic Preparedness: Principles and Reality	5
Power Calculations for Replication Studies	5
Additive Bayesian Variable Selection under Censoring and Misspecification	5