International Statistical Review

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 2022-08-01 to 2026-08-01.)
ArticleCitations
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 (pbk34
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Pre‐Smoothing Methods for Transition Probabilities in Complex Non‐Markovian Multistate Models20
Accounting for Non‐ignorable Sampling and Non‐response in Statistical Matching17
Synergy of Biostatistics and Epidemiology in Air Pollution Health Effects Studies15
Object Oriented Data AnalysisJ. S.Marron and I. L.DrydenChapman & Hall/CRC, 2022, xii + 424 pages, softcover ISBN: 978‐0‐8153‐9282‐8 (hbk) ISBN: 978‐1‐032‐11480‐4 (pbk) ISBN: 978‐1‐351‐18967‐5 (eb15
A Computational Perspective on Projection Pursuit in High Dimensions: Feasible or Infeasible Feature Extraction14
On Frequency and Probability Weights: An In‐Depth Look at Duelling Weights11
Testing the Expectile Market Timing Ability of Mutual Fund Managers11
Estimating Velocities of Infectious Disease Spread Through Spatio‐Temporal Log‐Gaussian Cox Point Processes10
Robust Adaptive Estimation of Mean and Scatter Matrix in High‐Dimensional Settings9
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An interview with Luis Raúl Pericchi7
Bayesian WorkflowAndrewGelman, AkiVehtari, and RichardMcElreath, with DanielSimpson, Charles C.Margossian, YulingYao, LaurenKennedy, JonahGabry, Paul‐ChristianBürkner, MartinModrák, and Vianey LeosBar7
On the Number of Components for Matrix‐Variate Mixtures: A Comparison Among Information Criteria7
Controlled Epidemiological StudiesMarieReillyChapman & Hall/CRC Biostatistics Series, CRC Press, 2023, xxxii + 439 pages, £115/$150, hardcover. ISBN: 978‐0‐367‐18678‐4 (hbk)6
Inference via the Skewness‐Kurtosis Set6
Online Evidential Nearest Neighbour Classification for Internet of Things Time Series6
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Matrix‐Variate Time Series Analysis: A Brief Review and Some New Developments5
On Metric Choice in Dimension Reduction for Fréchet Regression5
Regularization Approaches for High‐Dimensional Cox Models: A Case Study in Triple‐Negative Breast Cancer5
One‐Inflation and Zero‐Truncation Count Data Modelling Revisited With a View on Horvitz–Thompson Estimation of Population Size5
Improving Probabilistic Record Linkage Using Statistical Prediction Models4
A Statistical Review of Template Model Builder: A Flexible Tool for Spatial Modelling4
Missing Values in Time Series: A Brief Review and a New Versatile Imputation Method4
Adjusting Self‐Protective and Non‐Response Behaviours in Sensitive Prevalence Estimation by a Two‐Stage Multilevel Randomised Response Technique4
Goodness‐of‐Fit Tests for Positive Quadrant Dependence4
On the Inversion‐Free Newton's Method and Its Applications4
Foreword3
Soccer Analytics: An Introduction Using R. CliveBeggsChapman & Hall/CRC, 2024, xvi + 380 pages, £49.99, hardcover ISBN: 978‐1‐0323‐5758‐43
Estimation of Graphical Models: An Overview of Selected Topics3
Issue Information3
An Uncertainty Based Approach for Dealing With Selection Bias in Non‐Probability Samples2
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Experimental Design for Data Science and EngineeringV. RoshanJosephChapman & Hall/CRC, 2026. 246 pages, $112.79, hardcover ISBN: 978‐1‐041‐11752‐02
Issue Information2
An Interview With Peter Rousseeuw2
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Bias Adjustment for Mean Squared Error Estimation in M‐Quantile Models for Small Area Estimation2
Clustering Longitudinal Data: A Review of Methods and Software Packages2
Variance Matrix Priors for Dirichlet Process Mixture Models With Gaussian Kernels2
ODC and ROC Curves, Comparison Curves and Stochastic Dominance2
Hybrid SV‐GARCH, t‐GARCH and Markov‐switching covariance structures in VEC models—Which is better from a predictive perspective?2
Invited Discussion on Article by Nandy, Holan and Schweinberger2
Foundations of Bayesian Statistics for Data Scientists: With R and PythonAlanAgresti, MariaKateri, RanjiniGrove and AntoniettaMiraChapman & Hall/CRC, 2026, 452 pages, £62.99, paperback ISBN: 978‐2
Fisher Meets Bayes: The Value of Randomisation for Bayesian Inference of Causal Effects2
Generalised Income Inequality Index2
The Random Power Function for Tests Based on Pivotal Quantities2
A Survey of Monte Carlo Methods for Noisy and Costly Densities With Application to Reinforcement Learning and ABC2
A Comparative Review of Specification Tests for Diffusion Models2
Non‐Response Insights With Binary Variables2
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 (paper2
The Raise Regression: Justification, Properties and Application2
New Scheme of Empirical Likelihood Method for Ranked Set Sampling: Applications to Two One‐Sample Problems1
Prescriptions for Quant Traders Using R: Videos & Scripts By JasonGuevara and OskarsLinaresChapman & Hall/CRC, 2026, 198 Pages 21 Color & 4 B/W Illustrations, £75.99, paperback ISBN: 978‐11
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A Legacy of EM Algorithms1
A Two‐stage Bayesian Small Area Estimation Approach for Proportions1
Who Is My Neighbour? A Discussion of ‘A Socio‐Demographic Latent Space Approach to Spatial Data When Geography Is Important but Not All‐Important’1
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: 978‐0‐691‐211
Recent Developments on Statistical Transfer Learning1
Issue Information1
High‐dimensional Probability: An Introduction with applications in data science, 2nd EditionRomanVershyninCambridge University Press, 2026, viii + 333 pages, £65, hardcover ISBN: 97810094906721
A Spatial Variance‐Smoothing Area Level Model for Small Area Estimation of Demographic Rates1
Increasing Trust in New Data Sources: Crowdsourcing Image Classification for Ecology1
Discussion of ‘Robust distance covariance’ by S. Leyder, J. Raymaekers and P. J. Rousseeuw1
New Perspectives in Mathematical and Statistical Methods for Actuarial Sciences and Finance, MicheleLa Rocca, MassimilianoMenzietti, CiraPerna, and MarilenaSibillo, Springer Nature Switzerland AG, 2021
Path algorithms for fused lasso signal approximator with application to COVID‐19 spread in Korea1
The Augmented Hat‐Matrix of Hierarchical Generalised Linear Models and Its Use in Leverage Diagnostics1
Calibration Techniques Encompassing Survey Sampling, Missing Data Analysis and Causal Inference0
On Spatial Point Processes With Composition‐Valued Marks0
Multidimensional Stationary Time Series Dimension Reduction and PredictionMariannaBolla, TamásSzabadosRoutledge, 2023, xiv + 318 pages, $59.95, paperback ISBN: 97803676197010
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Artificial Intelligence Perspectives in Survey Data Analysis0
Machine Learning in Finance: Trends, Developments and Business Practices in the Financial Sector Edited by MusaGun and BurcuKartal Springer Nature Switzerland AG, 2025, xi + 204 pages, £149.99, hardco0
Extreme Conditional Quantile Estimation in High Dimensions: A Comparative Study0
ABC of the future0
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Data Analytics and Machine Learning: Navigating the Big Data Landscape Edited by PushpaSingh, Asha RaniMishra, and PayalGargSpringer, 2024, 366 pages, $169.99, hardcover ISBN: 978‐98197044770
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Post‐Shrinkage Strategies in Statistical and Machine Learning for High Dimensional DataSyed EjazAhmed, FeryaalAhmed, BahadirYüzbaşı. Chapman & Hall/CRC Press, 2023, 408 page, £125/$160, hardback I0
Comparing Robust Versions of Distance Covariance: A Comment on the Biloop Approach0
Correspondence Analysis Using the Cressie–Read Family of Divergence Statistics0
Master Protocol Clinical Trials for Evidence Generation: Strategies, Designs, Operations and Case Studies, RuixiaoLu, JingjingYe, Chengxing (Cindy)Lu, WilliamWang, Chapman & Hall. CRC Biostatistic0
Penalisation Methods in Fitting High‐Dimensional Cointegrated Vector Autoregressive Models: A Review0
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An Optimised Optional Randomised Response Technique0
Feature Screening for Ultrahigh Dimensional Mixed Data via Wasserstein Distance0
New Randomised Response Models for Two Sensitive Characteristics: Theory and Application0
Can AI Replace the Statistician? Evidence From a Controlled Experiment0
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Applied Time Series Analysis for the Social Sciences: Specification, Estimation and InferenceRegina M.BakerJohn Wiley & Sons, 2026, xiii + 226 pages, $76.95, hardcover ISBN: 978-0-470-74993-70
On the Most Effective Use of Continuous Auxiliary Variables in Regression Estimation in Survey Sampling0
A Socio‐demographic Latent Space Approach to Spatial Data When Geography Is Important But not All‐Important 10
Optimal Treatment Regimes: A Review and Empirical Comparison0
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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 ISB0
Validating an Index of Selection Bias for Proportions in Non‐Probability Samples0
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On Integral Priors for Multiple Comparison in Bayesian Model Selection0
The Role of Dice in the Emergence of the Probability Calculus0
A First Course in Statistical Learning, With Data Examples and Python CodeJohannesLedererSpringer, 2025, xiv + 282 pages, £79.99, hardcover ISBN: 978‐3‐031‐30276‐30
Inference via Robust Optimal Transportation: Theory and Methods0
A Total Error Framework with a Special Focus on Digital Data0
Number Savvy: From the Invention of Numbers to the Future of DataGeorgeSciadasChapman & Hall/CRC, 2022, 312 pages, £56.99/$74.95, hardcover ISBN 97810323621510
How Estimators Change When Adapted From the Missing Covariate Problem to the Right‐Censored Covariate Problem0
A Conversation With Amy Racine‐Poon0
Linking the Comparison and Graphical Approaches to Bipartite Matching0
Fundamentals of Robust Machine Learning: Handling Outliers and Anomalies in Data Science, ResveSaleh, SohaibMajzoub, A.K. Md. EhsanesSaleh, John Wiley & Sons, 2025, xiv + 416 pages, £103.95, hardc0
Revisiting Estimation of Number of Trials in Binomial Distribution0
Designing unsupervised mixed‐type feature selection techniques using the heterogeneous correlation matrix0
Global seasonal and pandemic patterns in influenza: An application of longitudinal study designs0
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How Do Applied Researchers Use the Causal Forest? A Methodological Review0
Statistical Methods for Climate ScientistsTimothy M.DelSole and Michael K.TippettCambridge University Press, 2022, 542 pages, £54.99, hardcover ISBN: 97811084724180
Medical Knowledge Integration Into Reinforcement Learning Algorithms for Dynamic Treatment Regimes0
An Introduction to R and Python for Data Analysis: A Side‐by‐Side ApproachTaylorR. Brown Chapman and Hall/CRC, 2023, 246 pages (hardback $99.95, ebook $74.96) ISBN 978‐10322032‐560
Data Science and Risk Analytics in Finance and InsuranceTze LeungLai and HaipengXing, Chapman & Hall/CRC Financial Mathematics Series, 2024, 366 pages, $99.99, hardcover; $94.99, Kindle. ISBN: 9780
Resolving the Induction Problem: Can We State With Complete Confidence That the Sun Rises Forever?0
Parametric Quantile Beta Regression Model0
Rejoinder0
A Bootstrap Variance Procedure for the Generalised Regression Estimator0
Varying‐Thresholds Models: a Flexible Approach to Parametric and Nonparametric Regression0
Handling Out‐of‐Sample Areas to Estimate the Unemployment Rate at Local Labour Market Areas in Italy0
Weibull Random Fields for Spatially Dependent Positive Data: An Application to Mining Haul Roads0
Discussion to the paper ‘Robust Distance Covariance’0
The Effect: An Introduction to Research Design and CausalityNickHuntington‐KleinChapman & Hall/CRC, 2022, xiv + 620 pages, $39.95, paperback. ISBN: 97810321257870
A note on generalised information criteria for structured sparse models0
A Conversation With Marc Hallin0
Data Conscience: Algorithmic Siege on Our HumanityBrandeis HillMarshallWiley, 2022, xxv + 326 pages, paperback £30.99 ISBN: 978‐1‐119‐82118‐20
Interview With Adrian Raftery0
Alternative Approaches for Estimating Highest‐Density Regions0
Review of Post‐Clustering Inference Methods0
A New Evaluation Strategy for Diagnostic Tests Under Umbrella or Tree Ordering0
A Non‐Parametric Framework for Correlation Functions on Product Metric Spaces0
A Comparative Note on the Reliability of Inequality Indicator Estimates0
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Machine Learning: A Concise Introduction, 2nd Edition, Steven W.Knox Wiley, 2026, xiv + 419 pages, $109.95, hardcover ISBN: 978‐1‐394‐32525‐20
Statistical Depth Meets Machine Learning: Kernel Mean Embeddings and Depth in Functional Data Analysis0
Maximum Likelihood Estimation of Multivariate Regime Switching Student‐t Copula Models0
Robust Distance Covariance 10
Joint Robust Variable Selection of Mean and Covariance Model via Shrinkage Methods0
Statistics: Multivariate Data Integration Using R; Methods and Applications With the mixOmics PackageKim‐Anh LêCao, Zoe MarieWelhamChapman & Hall/CRC, 2021, xxi + 308 pages, £84.99/$115.00, hardco0
Machine Learning Theory and Applications: Hands‐On Use Cases With Python on Classical and Quantum Machines, XavierVasques, John Wiley & Sons, 2024, xx + 487 pages, $89.95, hardcover ISBN: 978‐1‐390
Nonresponse Bias Analysis in Longitudinal Studies: A Comparative Review with an Application to the Early Childhood Longitudinal Study0
Chance‐Corrected Interrater Agreement Statistics for Two‐Rater Dichotomous Responses: A Method Review With Comparative Assessment Under Possibly Correlated Decisions0
Statistical analysis of longitudinal studies0
A Slicing‐Free Perspective to Sufficient Dimension Reduction: Selective Review and Recent Developments0
Interview With Professor Elizabeth A. Thompson0
Likelihood‐Based Inference for the Finite Population Mean with Post‐Stratification Information Under Non‐Ignorable Non‐Response0
On linkage bias‐correction for estimators using iterated bootstraps0
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Rejoinder: A Socio‐Demographic Latent Space Approach to Spatial Data When Geography is Important but Not All‐Important0
Small Sample Inference for Two‐Way Capture‐Recapture Experiments0
Estimating the Reciprocal of a Binomial Proportion0
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: 978‐1‐108‐49430
Ordinal Non‐Symmetric Correspondence Analysis for Four‐Way Data0
Statistical Analysis of Data Repeatability Measures0
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A Conversation With David Bellhouse0
Philosophies, Puzzles, and Paradoxes: A Statistician's Search for the TruthYudiPawitan and YoungjoLeeChapman & Hall/CRC, 2024, xiv + 351 pages, £18.39/$23.96 paperback, £104/$136 hardback, £17.24/0
A joint normal‐binary (probit) model0
Summary characteristics for multivariate function‐valued spatial point process attributes0
Mixed‐Effects Models and Small Area EstimationShonosukeSugasawa and TatsuyaKubokavaSpringer Nature, 2023, viii + 121 pages, £39.99, paperback ISBN: 978‐981‐19‐9485‐20
Statistical Inference for the Kakwani Inequality Index0
Simultaneous inference for linear mixed model parameters with an application to small area estimation0
Specification Tests for Jump‐Diffusion Models Based on the Characteristic Function0
A Review of Data‐Driven Discovery for Dynamic Systems0
Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions0
Flexible Multivariate Mixture Models: A Comprehensive Approach for Modeling Mixtures of Non‐Identical Distributions0
Unconditional Variance Estimation Under Complex Surveys0
Quantile Estimation for Judgement Post Stratification With an Application to Bone Mineral Density Study0
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