OOIR: Observatory of International Research

Papers

(The TQCC of Statistical Science is 6. 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 2020-11-01 to 2024-11-01.)

Article	Citations
A General Framework for Vecchia Approximations of Gaussian Processes	91
The Box–Cox Transformation: Review and Extensions	68
Exponential-Family Models of Random Graphs: Inference in Finite, Super and Infinite Population Scenarios	54
A Selective Overview of Deep Learning	48
Revisiting the Gelman–Rubin Diagnostic	47
Best Subset, Forward Stepwise or Lasso? Analysis and Recommendations Based on Extensive Comparisons	39
The Dependent Dirichlet Process and Related Models	32
Additive and Multiplicative Effects Network Models	30
In Defense of the Indefensible: A Very Naïve Approach to High-Dimensional Inference	27
The GENIUS Approach to Robust Mendelian Randomization Inference	24
Analyzing Stochastic Computer Models: A Review with Opportunities	21
Robust High-Dimensional Factor Models with Applications to Statistical Machine Learning	20
A Unified Primal Dual Active Set Algorithm for Nonconvex Sparse Recovery	18
Convex Relaxation Methods for Community Detection	18
Game-Theoretic Statistics and Safe Anytime-Valid Inference	17
Maximum Likelihood Multiple Imputation: Faster Imputations and Consistent Standard Errors Without Posterior Draws	16
Testing Randomness Online	15
Bipartite Causal Inference with Interference	15
Choosing Among Notions of Multivariate Depth Statistics	15
Sparse Regression: Scalable Algorithms and Empirical Performance	14
Minimax Rates in Network Analysis: Graphon Estimation, Community Detection and Hypothesis Testing	13
Stein’s Method Meets Computational Statistics: A Review of Some Recent Developments	13
Aitchison’s Compositional Data Analysis 40 Years on: A Reappraisal	13
Judicious Judgment Meets Unsettling Updating: Dilation, Sure Loss and Simpson’s Paradox	12
Statistical Dependence: Beyond Pearson’s ρ	12

A General Framework for the Analysis of Adaptive Experiments	12
Symmetrical and Non-symmetrical Variants of Three-Way Correspondence Analysis for Ordered Variables	11
Response-Adaptive Randomization in Clinical Trials: From Myths to Practical Considerations	11
Challenges in Markov Chain Monte Carlo for Bayesian Neural Networks	11
Real-Time Estimation of COVID-19 Infections: Deconvolution and Sensor Fusion	10
A Problem in Forensic Science Highlighting the Differences between the Bayes Factor and Likelihood Ratio	10
On Estimation and Inference in Latent Structure Random Graphs	10
A Horse Race between the Block Maxima Method and the Peak–over–Threshold Approach	10
Statistical Modeling for Practical Pooled Testing During the COVID-19 Pandemic	9
Causal Inference Methods for Combining Randomized Trials and Observational Studies: A Review	8
Modern Bayesian Experimental Design	7
On General Notions of Depth for Regression	7
Methods to Compute Prediction Intervals: A Review and New Results	7
Power Calculations for Replication Studies	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 Challenges in Tracking the Evolution of SARS-CoV-2	6
Confidence as Likelihood	6
Gambler’s Ruin and the ICM	6
Principal Fairness for Human and Algorithmic Decision-Making	6
Interoperability of Statistical Models in Pandemic Preparedness: Principles and Reality	6
Identification of Causal Effects Within Principal Strata Using Auxiliary Variables	6
30 Years of Synthetic Data	6
The SPDE Approach to Matérn Fields: Graph Representations	6