OOIR: Observatory of International Research

Papers

(The median citation count of International Statistical Review is 0. 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.)

Article	Citations
A Review of Multi‐Compartment Infectious Disease Models	69
A Critical Review of LASSO and Its Derivatives for Variable Selection Under Dependence Among Covariates	29
Predictive Inference Based on Markov Chain Monte Carlo Output	26
A Review of Spatial Causal Inference Methods for Environmental and Epidemiological Applications	26
Priors in Bayesian Deep Learning: A Review	22
Prediction, Estimation, and Attribution	20
Data Integration by Combining Big Data and Survey Sample Data for Finite Population Inference	17
Initialization of Hidden Markov and Semi‐Markov Models: A Critical Evaluation of Several Strategies	17
Statistical Network Analysis: A Review with Applications to the Coronavirus Disease 2019 Pandemic	14
Rethinking the Effective Sample Size	14
Statistical Implementations of Agent‐Based Demographic Models	13
On Some Characteristics of Gaussian Covariance Functions	12
Spatial Regression With Partial Differential Equation Regularisation	11
Bias, Fairness and Accountability with Artificial Intelligence and Machine Learning Algorithms	11
Another Look at the Lady Tasting Tea and Differences Between Permutation Tests and Randomisation Tests	10
Ranks and Pseudo‐ranks—Surprising Results of Certain Rank Tests in Unbalanced Designs	10
Hierarchical Models for the Analysis of Likert Scales in Regression and Item Response Analysis	10
Small Area Estimation for Disease Prevalence Mapping	8
On the Effects of Spatial Confounding in Hierarchical Models	7
Stable Discovery of Interpretable Subgroups via Calibration in Causal Studies	7
Uncertainty Estimation for Pseudo‐Bayesian Inference Under Complex Sampling	7
Modern Strategies for Time Series Regression	6
Advanced Multilevel Monte Carlo Methods	6
Random Effects Misspecification Can Have Severe Consequences for Random Effects Inference in Linear Mixed Models	6
Bayesian Model Selection of Gaussian Directed Acyclic Graph Structures	6

Enhancing Data Science Ethics Through Statistical Education and Practice	6
Supervised Machine Learning Techniques: An Overview with Applications to Banking	5
White Noise Test from Ordinal Patterns in the Entropy–Complexity Plane	5
Efficient and robust propensity‐score‐based methods for population inference using epidemiologic cohorts	5
Reluctant Generalised Additive Modelling	5
Shannon's Entropy and Its Generalisations Towards Statistical Inference in Last Seven Decades	5
Variable Selection for Interval‐censored Failure Time Data	5
A Statistical Review of Template Model Builder: A Flexible Tool for Spatial Modelling	4
Estimating Sampling Errors in Consumer Price Indices	4
Correspondence Analysis Using the Cressie–Read Family of Divergence Statistics	4
Directions Old and New: Palaeomagnetism and Fisher (1953) Meet Modern Statistics	4
Modelling Excess Zeros in Count Data: A New Perspective on Modelling Approaches	4
Practical Review and Comparison of Modified Covariance Estimators for Linear Mixed Models in Small‐sample Longitudinal Studies with Missing Data	4
An Extensive Comparison of Some Well‐Established Value at Risk Methods	4
Are You All Normal? It Depends!	3
A Review of Seasonal Adjustment Diagnostics	3
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	3
Rao–Blackwellisation in the Markov Chain Monte Carlo Era	3
Path algorithms for fused lasso signal approximator with application to COVID‐19 spread in Korea	2
Optimal Treatment Regimes: A Review and Empirical Comparison	2
The Data Science Process: One Culture	2
A Survey of Differentially Private Regression for Clinical and Epidemiological Research	2
Deconfounding and Causal Regularisation for Stability and External Validity	2
Double Empirical Bayes Testing	2
Statistical analysis of longitudinal studies	2
Unlucky Number 13? Manipulating Evidence Subject to Snooping	2
On Two Existing Approaches to Statistical Analysis of Social Media Data	2
A Geometrical Interpretation of Collinearity: A Natural Way to Justify Ridge Regression and Its Anomalies	2
Fisher's g Revisited	2
ABC of the future	2
A Conversation With Paul Embrechts	2
Increasing Trust in New Data Sources: Crowdsourcing Image Classification for Ecology	2
From Pareto to Weibull – A Constructive Review of Distributions on ℝ⁺	2
Likelihood‐Based Inference for the Finite Population Mean with Post‐Stratification Information Under Non‐Ignorable Non‐Response	2
An Efficient Test for Homogeneity of Mean Directions on the Hyper‐sphere	2
Semiparametric Regression with R Jaroslaw Harezlak, David Ruppert and Matt P. Wand Springer, 2018, xi + 331 pages, €85.39, ebook ISBN: 978‐1‐4939‐8853‐2	1
	1
Using Survey Sampling Algorithms For Exact Inference in Logistic Regression	1
Scalable Bayesian Multiple Changepoint Detection via Auxiliary Uniformisation	1
Diagnostic Tests for the Necessity of Weight in Regression With Survey Data	1
A Review of Data‐Driven Discovery for Dynamic Systems	1
Calibration Techniques Encompassing Survey Sampling, Missing Data Analysis and Causal Inference	1
Survival Modelling for Data From Combined Cohorts: Opening the Door to Meta Survival Analyses and Survival Analysis Using Electronic Health Records	1
Information Geometry	1
	1
Constructing Flexible, Identifiable and Interpretable Statistical Models for Binary Data	1
Smoothing and Benchmarking for Small Area Estimation	1
	1
Nudging a Pseudo‐Science Towards a Science—The Role of Statistics in a Rainfall Enhancement Trial in Oman	1
Random Circulant Matrices, ArupBose and KoushikSaha, CRC Press, 2019, xix + 192 pages, $174.95, hardcover ISBN: 978‐1‐1383‐5109‐7	1

A Non‐Proportional Hazards Model with Hazard Ratio Functions Free from Covariate Values	1
A joint normal‐binary (probit) model	1
	1
A Concise Introduction to Machine Learning A.C. FaulCRC Press, 2019, 314 pages, £46.99, paperbackISBN: 978‐0‐8153‐8410‐6	1
Hybrid SV‐GARCH, t‐GARCH and Markov‐switching covariance structures in VEC models—Which is better from a predictive perspective?	1
Discussion of “Prediction, Estimation, and Attribution” by Bradley Efron	1
A Legacy of EM Algorithms	1
Global seasonal and pandemic patterns in influenza: An application of longitudinal study designs	1
High‐dimensional Statistics: A Non‐asymptotic Viewpoint, Martin J.Wainwright, Cambridge University Press, 2019, xvii 552 pages, £57.99, hardback ISBN: 978‐1‐1084‐9802‐9	1
C. Radhakrishna Rao: A Century in Statistical Science	1
Estimation of Graphical Models: An Overview of Selected Topics	1
Effect of Covariate Omission in Randomised Controlled Trials: A Review and Simulation Study	1
Spatial Sampling for Non‐compact Patterns	1
Sparser Ordinal Regression Models Based on Parametric and Additive Location‐Shift Approaches	1
Accounting for Non‐ignorable Sampling and Non‐response in Statistical Matching	1
Issue Information	1
	0
Online Evidential Nearest Neighbour Classification for Internet of Things Time Series	0
Issue Information	0
Foreword: COVID‐19 Mini‐issue—Statistical Primers	0
Stochastic Models in Reliability Engineering Lirong Cui, Ilia Frenkel and Anatoly Lisniansku CRC Press, 2020, 482 pages, $190.00, hardcover ISBN: 978‐0‐367‐34585‐3	0
New Randomised Response Models for Two Sensitive Characteristics: Theory and Application	0
On testing for homogeneity with zero‐inflated models through the lens of model misspecification	0
Data Visualization for Social and Policy Research: A Step‐by‐Step Approach Using R and PythonJose Manuel MagallanesReyesCambridge University Press, 2022, 292 pages, $105, hardback ISBN: 978‐1‐108‐4943	0
Should We Condition on the Number of Points When Modelling Spatial Point Patterns?	0
Statistical Inference via Convex Optimization Nillas, Alice Anatoli Juditsky and Arkadi Nemirovski Princeton University Press, 2020, xiv + 656 pages, £ 70/$85, hardcover ISBN: 978‐0‐6911‐9729‐6	0
Causal Inference in Statistics: A Primer, JudeaPearl, MadelynGlymour and Nicholas P.Jewell, John Wiley & Sons, 2019, 156 pages, $46.75, paperback ISBN: 978‐1‐1191‐8684‐7	0
Business Experiments with R B. D. McCullough Wiley, 2021, xxi + 361 pages, $104, Reflowable softcopy on VitalSource eText ISBN: 978‐1‐119‐68988‐1, 1119689880	0
Letter to the Editor: ‘On Quantile‐based Asymmetric Family of Distributions: Properties and Inference’	0
Wavelets from a Statistical PerspectiveMaartenJansenChapman and Hall/CRC, 2022, xix + 325 pages, $96 (hardcover) ISBN: 978‐1‐032‐20067‐5 (hardcover)	0
Geographic Data Science With PythonSergioRey, DaniArribas‐Bel, Levi JohnWolfCRC Press, 2023, xiv + 410 pages, 119 Color & 4 B/W Illustrations, £39.19/$89.95, paperback ISBN: 978‐1‐032‐44595‐3 (pbk	0
Issue Information	0
Discussion	0
Issue Information	0
Official Statistics 4.0: Verified Facts for People in the 21st Century Walter J. Radermacher Springer International Publishing, 2020, xii + 158 pages, $79.99, hardcover ISBN: 978‐3‐030‐31491‐0	0
Direction Dependence in Statistical Modeling: Methods of AnalysisWolfgangWiedermann, DaeyoungKim, Engin A.Sungur and AlexandervonEyeWiley, 2021, 432 pages, £102, hardcover ISBN: 978‐1‐119‐52307‐9	0
Matrix‐Variate Time Series Analysis: A Brief Review and Some New Developments	0
Issue Information	0
Discussion	0
On the Inversion‐Free Newton's Method and Its Applications	0
A multivariate Poisson model based on comonotonic shocks	0
The Road to Quality Control, Homer M.Sarasohn, Translated by N. I. Fisher and Y. Tanaka from the original Japanese text by Kagaku Shinko Sha, John Wiley & Sons, 2019, 160 pages, £89.95, hardcover,	0
Book Review: Random Circulant Matrices, Arup Bose and Koushik Saha, CRC Press, 2019, xix + 192 pages, $174.95, hardcover ISBN: 978‐1‐1383‐5109‐7	0
Computational Genomics with R Altuna Akalin Chapman & Hall/CRC, 2021, xxii + 440 pages, £99.99, hardcover ISBN: 978‐1‐4987‐8185‐5	0
	0
Modern Applied Regressions: Bayesian and Frequentist Analysis of Categorical and Limited Response Variables with R and StanJunXuChapman & Hall/CRC, 2023, xv + 281 pages, £80.99/$108, hardcover ISB	0
An Interview with Bradley Efron	0
Practical Smoothing: The Joys of P‐splinesPaul H. C.Eilers and Brian D.MarxCambridge University Press, 2021, xii + 199 pages, $59.99, hardcover ISBN: 978‐1‐1084‐8295‐0	0
	0
Issue Information	0
Interview With Adrian Raftery	0
Discussion	0
Exploratory Subgroup Analysis in Clinical Research	0
Population Genomics with REmmanuelParadisChapman & Hall/CRC, 2020, 394 pages, $120, hardback ISBN: 978‐1‐1386‐0818‐4	0
Estimating Monotonic Hazard Ratio Functions of Time	0
Comment: When Is It Data Science and When Is It Data Engineering?	0
	0
Parametric Quantile Beta Regression Model	0
Synergy of Biostatistics and Epidemiology in Air Pollution Health Effects Studies	0
Issue Information	0
Text Analytics: Advances and Challenges Domenica Fioredistella Iezzi, Damon Mayaffre and Michelangelo Misuraca Springer, 2020, xi + 302 pages, £95.50, eBook ISBN: 978‐3‐030‐52680‐1	0
Benchmarked Estimators for a Small Area Mean Under a Onefold Nested Regression Model	0
	0
A Bootstrap Variance Procedure for the Generalised Regression Estimator	0
Statistical Methods for Climate ScientistsTimothy M.DelSole and Michael K.TippettCambridge University Press, 2022, 542 pages, £54.99, hardcover ISBN: 9781108472418	0
On the Most Effective Use of Continuous Auxiliary Variables in Regression Estimation in Survey Sampling	0
Simultaneous inference for linear mixed model parameters with an application to small area estimation	0
	0
Response to the Letter to the Editor on ‘On Quantile‐based Asymmetric Family of Distributions: Properties and Inference’	0
Matrix Differential Calculus with Applications in Statistics and Econometrics, 3rd Edition, Jan R.Magnus and HeinzNeudecker, John Wiley & Sons, 2019, 504 pages, $115, hardcover; $92.99 ebook, ISBN	0
Parameter Redundancy and Identifiability Diana Cole Chapman and Hall/CRC, 2020, xx + 252 pages, £140, hardcover ISBN: 978‐1‐498‐72087‐8	0
	0
Discussion of the Paper “Prediction, Estimation, and Attribution” by B. Efron	0
Women Trailblazers in the Statistical Profession	0
Penalisation Methods in Fitting High‐Dimensional Cointegrated Vector Autoregressive Models: A Review	0
Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences	0
Erratum	0
Social Networks: Modelling and AnalysisNiyatiAggrawal and AdarshAnandCRC Press, 2022, xvii + 235 pages, hardcover ($170); e‐book ($44.21). ISBN: 978‐0‐367‐54139‐2 (hardcover), 978‐0‐367‐54173‐6 (paper	0
Exploratory Model Analysis: Explore, Explain, and Examine Predictive Models Przemyslaw Biecek and Tomasz Burzykowski Chapman & Hall/CRC, 2021, xiv + 309 pages, £63.99, hardcover ISBN: 978‐0‐3671‐3	0
Issue Information	0

Bayesian Models Applied to Cyber Security Anomaly Detection Problems	0
Foreword	0
Discussion	0
Introduction to Probability: Models and Applications, N.Balakrishnan, Markos V.Koutras and Konstadinos G.Politis, John Wiley & Sons, 2020, xiii 608 pages, $140.00, hardcover ISBN: 978‐1‐1181‐2334‐	0
Elaboration Models with Symmetric Information Divergence	0
End‐to‐End Data Science with SAS: A Hands‐On Programming Guide James Gearheart SAS Press, 2020, xiii+363 pages, £ 23.99$29.99, ebook ISBN: 978‐1‐64295‐806‐5	0
Bayesian Statistics for Beginners: A Step‐by‐Step Approach Therese M. Donovan and Ruth M. Mickey Oxford University Press, 2019, viii + 419 pages, $100, hardcover ISBN: 978‐0‐19‐884129‐6	0
Random Forests with R Robin Genuer & Jean‐Michel Poggi Springer, 2019, x + 99 pp, £49.99, paperback. ISBN: 978‐3‐030‐56484‐1	0
Foreword	0
A Spatial Variance‐Smoothing Area Level Model for Small Area Estimation of Demographic Rates	0
Machine Learning: A Concise Introduction Steven W. Knox John Wiley & Sons, 2018, 352 pages, $99.95, hardcover ISBN: 978‐1‐119‐43919‐6	0
Foreword for the mini issue in honour of Prof C. R. Rao	0
An Interview with John M. Abowd	0
Mixed‐Effects Models and Small Area EstimationShonosukeSugasawa and TatsuyaKubokavaSpringer Nature, 2023, viii + 121 pages, £39.99, paperback ISBN: 978‐981‐19‐9485‐2	0
Discussion of Professor Bradley Efron’s Article on “Prediction, Estimation, and Attribution”	0
Issue Information	0
Issue Information	0
Game Data ScienceMagy SeifEl‐Nasr, Truong‐Huy D.Nguyen, AlessandroCanossa, AndersDrachenOxford University Press, 2022, xvi + 416 pages, $105 (hardback)/$55 (paperback) ISBN‐10: 019289787X, ISBN‐13: 97	0
Statistical Machine Learning: A Unified Framework	0
An interview with Luis Raúl Pericchi	0
	0
Discussion of Paper by Brad Efron	0
Numerical Weather Prediction and Data Assimilation Petros Katsafados, Elias Mavromatidis and Christos Spyrou Wiley, 2020, x+208 pages, $165, hardcover ISBN: 978‐1‐786‐30141‐3	0
A Two‐level GREG Estimator for Consistent Estimation in Household Surveys	0
Communicating with Data: The Art of Writing for Data ScienceDeborahNolan and Sara Stoudt Oxford University Press, 2021, vii + 331 pages, $45.95, paperback ISBN: 978‐0‐1988‐6275‐8	0
Generalised Income Inequality Index	0
Some Solutions Inspired by Survey Sampling Theory to Build Effective Clinical Trials	0
Statistical Remedies for Medical Researchers Peter F. Thall Springer, 2020, xi + 291 pages, £ 79.99/$109.99, hardcover ISBN: 978‐3‐030‐43713‐8	0
Model‐based Clustering and Classification for Data Science, CharlesBouveyron, GillesCeleux, T. BrendanMurphy and Adrian E.Raftery, Cambridge University Press, 2019, 427 + xvii pages, £59.99, hardcover	0
Issue Information	0
Time Series: A First Course With Bootstrap Starter Tucker S. McElroy and Dimitris N. Politis CRC Press, 2020, xix + 566 pages, £ 74.99/$99.95, hardcover ISBN 978‐1‐4398‐7561‐0	0
Issue Information	0
Measurement Error in Longitudinal DataAlexandruCernat and Joseph W.SakshaugOxford University Press, 2021, xii + 448 pages, $115.00, hardcover ISBN: 978‐0‐19‐885998‐7	0
Thinking Clearly with Data: A Guide to Quantitative Reasoning and AnalysisEthan BuenodeMesquita and AnthonyFowlerPrinceton University Press, 2021, 400 pages, $95.00/£74.00, hardback ISBN: 978‐0‐691‐21	0
Discussions	0
2021 International Statistical Institute Mahalanobis Award: A Tribute to Heleno Bolfarine	0
Issue Information	0
Extreme Value Theory with Applications to Natural Hazards: From Statistical Theory to Industrial Practice Edited by NicolasBousquet and PietroBernardaraSpringer Cham, 2021, xxii + 481 pages, $199.99 I	0
	0
Interview with Professor Adrian FM Smith	0
Number Savvy: From the Invention of Numbers to the Future of DataGeorgeSciadasChapman & Hall/CRC, 2022, 312 pages, £56.99/$74.95, hardcover ISBN 9781032362151	0
The Effect: An Introduction to Research Design and CausalityNickHuntington‐KleinChapman & Hall/CRC, 2022, xiv + 620 pages, $39.95, paperback. ISBN: 9781032125787	0
Assessing Bayesian Semi‐Parametric Log‐Linear Models: An Application to Disclosure Risk Estimation	0
Survey Weighting after Imperfect Linkage to an Administrative File	0
Nonparametric Testing of the Dependence Structure Among Points–Marks–Covariates in Spatial Point Patterns	0
Sampling and Estimation from Finite PopulationsYves TilléWiley, 2020, xxviii + 419 pages, £ 65/$100, hardcover ISBN: 978‐0‐470‐68205‐0	0
Data Conscience: Algorithmic Siege on Our HumanityBrandeis HillMarshallWiley, 2022, xxv + 326 pages, paperback £30.99 ISBN: 978‐1‐119‐82118‐2	0
Issue Information	0
Fundamentals of Causal Inference with RBabette A.BrumbackChapman & Hall/CRC, 2021, xi + 236 pages, $69.95, hardcover ISBN: 978‐0‐3677‐0505‐3	0
Handbook of Automated Scoring: Theory into Practice Duanli Yan, André A. Rupp and Peter W. Foltz Chapman & Hall/CRC, 2020, 580 pages, £120, hardcover ISBN: 978‐1‐1385‐7827‐2	0
Rejoinder	0
Improving Probabilistic Record Linkage Using Statistical Prediction Models	0
Correction to ‘Distribution‐free Approximate Methods for Constructing Confidence Intervals for Quantiles’	0
A Survey of Differentially Private Regression for Clinical and Epidemiological Research	0
Replication and Evidence Factors in Observational StudiesPaul R.RosenbaumChapman & Hall/CRC, 2021, xviii + 254 pages, $120, hardback ISBN: 978‐036748‐388‐3	0
Estimating the Reciprocal of a Binomial Proportion	0
A Computational Perspective on Projection Pursuit in High Dimensions: Feasible or Infeasible Feature Extraction	0
Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare	0
	0
Administrative Records for Survey Methodology Edited by Asaph YoungChun, Michael D.Larsen, GabrieleDurrant, Jerome P.ReiterJohn Wiley and Sons, 2021, 384 pages, $128.95 (hardcover) ISBN: 978‐1‐1192‐72	0