OOIR: Observatory of International Research

Papers

(The TQCC of International Statistical Review is 2. 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 2020-09-01 to 2024-09-01.)

Article	Citations
A Critical Review of LASSO and Its Derivatives for Variable Selection Under Dependence Among Covariates	43
Predictive Inference Based on Markov Chain Monte Carlo Output	37
A Review of Spatial Causal Inference Methods for Environmental and Epidemiological Applications	35
Priors in Bayesian Deep Learning: A Review	32
Prediction, Estimation, and Attribution	30
Data Integration by Combining Big Data and Survey Sample Data for Finite Population Inference	20
Rethinking the Effective Sample Size	19
Initialization of Hidden Markov and Semi‐Markov Models: A Critical Evaluation of Several Strategies	18
Bias, Fairness and Accountability with Artificial Intelligence and Machine Learning Algorithms	18
Spatial Regression With Partial Differential Equation Regularisation	17
Ranks and Pseudo‐ranks—Surprising Results of Certain Rank Tests in Unbalanced Designs	12
Another Look at the Lady Tasting Tea and Differences Between Permutation Tests and Randomisation Tests	11
Enhancing Data Science Ethics Through Statistical Education and Practice	9
On the Effects of Spatial Confounding in Hierarchical Models	9
Supervised Machine Learning Techniques: An Overview with Applications to Banking	9
Stable Discovery of Interpretable Subgroups via Calibration in Causal Studies	8
Modern Strategies for Time Series Regression	8
Variable Selection for Interval‐censored Failure Time Data	6
Reluctant Generalised Additive Modelling	6
Efficient and robust propensity‐score‐based methods for population inference using epidemiologic cohorts	6
Correspondence Analysis Using the Cressie–Read Family of Divergence Statistics	6
A Review of Seasonal Adjustment Diagnostics	5
Temporal Models for Demographic and Global Health Outcomes in Multiple Populations: Introducing a New Framework to Review and Standardise Documentation of Model Assumptions and Facilitate Model Compar	5
Modelling Excess Zeros in Count Data: A New Perspective on Modelling Approaches	5
White Noise Test from Ordinal Patterns in the Entropy–Complexity Plane	5

Statistical analysis of longitudinal studies	4
A Statistical Review of Template Model Builder: A Flexible Tool for Spatial Modelling	4
Practical Review and Comparison of Modified Covariance Estimators for Linear Mixed Models in Small‐sample Longitudinal Studies with Missing Data	4
Estimating Sampling Errors in Consumer Price Indices	4
Directions Old and New: Palaeomagnetism and Fisher (1953) Meet Modern Statistics	4
From Pareto to Weibull – A Constructive Review of Distributions on ℝ⁺	4
Rao–Blackwellisation in the Markov Chain Monte Carlo Era	3
Constructing Flexible, Identifiable and Interpretable Statistical Models for Binary Data	3
A Review of Data‐Driven Discovery for Dynamic Systems	3
Are You All Normal? It Depends!	3
ABC of the future	3
Likelihood‐Based Inference for the Finite Population Mean with Post‐Stratification Information Under Non‐Ignorable Non‐Response	3
An Efficient Test for Homogeneity of Mean Directions on the Hyper‐sphere	3
Nonparametric Testing of the Dependence Structure Among Points–Marks–Covariates in Spatial Point Patterns	3
Path algorithms for fused lasso signal approximator with application to COVID‐19 spread in Korea	2
C. Radhakrishna Rao: A Century in Statistical Science	2
Increasing Trust in New Data Sources: Crowdsourcing Image Classification for Ecology	2
Spatial Sampling for Non‐compact Patterns	2
Survival Modelling for Data From Combined Cohorts: Opening the Door to Meta Survival Analyses and Survival Analysis Using Electronic Health Records	2
Double Empirical Bayes Testing	2
A Legacy of EM Algorithms	2
Unlucky Number 13? Manipulating Evidence Subject to Snooping	2
The Data Science Process: One Culture	2
A joint normal‐binary (probit) model	2
Fisher's g Revisited	2
A Survey of Monte Carlo Methods for Noisy and Costly Densities With Application to Reinforcement Learning and ABC	2
A Conversation With Paul Embrechts	2
Optimal Treatment Regimes: A Review and Empirical Comparison	2
Simultaneous inference for linear mixed model parameters with an application to small area estimation	2
Deconfounding and Causal Regularisation for Stability and External Validity	2
Sparser Ordinal Regression Models Based on Parametric and Additive Location‐Shift Approaches	2