OOIR: Observatory of International Research

Papers

(The TQCC of Statistical Science is 7. 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 2021-06-01 to 2025-06-01.)

Article	Citations
Emerging Directions in Bayesian Computation	66
Being a Public Health Statistician During a Global Pandemic	41
A Cheat Sheet for Bayesian Prediction	40
The Dependent Dirichlet Process and Related Models	35
Approximating Bayes in the 21st Century	31
A Regression Perspective on Generalized Distance Covariance and the Hilbert–Schmidt Independence Criterion	28
Methods for Integrating Trials and Non-experimental Data to Examine Treatment Effect Heterogeneity	27
30 Years of Synthetic Data	27
Diffusion Schrödinger Bridges for Bayesian Computation	26
Randomization-Based Test for Censored Outcomes: A New Look at the Logrank Test	25
No Need for an Oracle: The Nonparametric Maximum Likelihood Decision in the Compound Decision Problem Is Minimax	21
Protecting Classifiers from Attacks	19
A Horse Race between the Block Maxima Method and the Peak–over–Threshold Approach	18
In Defense of the Indefensible: A Very Naïve Approach to High-Dimensional Inference	18
Note on Legendre’s Method of Least Squares	17
Rejoinder: Response-Adaptive Randomization in Clinical Trials	17
Protocols for Observational Studies: Methods and Open Problems	16
Bayesian Dependent Mixture Models: A Predictive Comparison and Survey	15
Revisiting the Gelman–Rubin Diagnostic	14
Distributionally Robust and Generalizable Inference	13
A Bayesian “Sandwich” for Variance Estimation	13
Comment: Group Sequential Designs with Response-Adaptive Randomisation	13
Interpreting p-Values and Confidence Intervals Using Well-Calibrated Null Preference Priors	13
Aitchison’s Compositional Data Analysis 40 Years on: A Reappraisal	11
Learning and Predicting from Dynamic Models for COVID-19 Patient Monitoring	10

Bayesian Adaptive Randomization with Compound Utility Functions	10
Identification of Causal Effects Within Principal Strata Using Auxiliary Variables	10
Diffusion Smoothing for Spatial Point Patterns	10
Parameter Restrictions for the Sake of Identification: Is There Utility in Asserting That Perhaps a Restriction Holds?	9
Khinchin’s 1929 Paper on Von Mises’ Frequency Theory of Probability	9
Statistical Embedding: Beyond Principal Components	9
Editorial: Special Issue on Reproducibility and Replicability	9
Editorial: Bayesian Computations in the 21st Century	8
Cross-Study Replicability in Cluster Analysis	8
A Conversation with Mary E. Thompson	8
A Problem in Forensic Science Highlighting the Differences between the Bayes Factor and Likelihood Ratio	8
Bayesian Sample Size Determination for Causal Discovery	7
Sampling Algorithms in Statistical Physics: A Guide for Statistics and Machine Learning	7
A Conversation with Stephen Portnoy	7
A Conversation with Guido W. Imbens	7