Contact information of International Statistical Institute
Corrections
All material on this site has been provided by the respective publishers and authors. You can help
correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:istatr. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/isiiinl.html .
Content
August 2026, Volume 94, Issue 2
- 221-241 A Conversation With David Bellhouse
by Christian Genest
- 242-263 A New Evaluation Strategy for Diagnostic Tests Under Umbrella or Tree Ordering
by Duc‐Khanh To & Gianfranco Adimari & Monica Chiogna
- 264-290 An Uncertainty Based Approach for Dealing With Selection Bias in Non‐Probability Samples
by Pier Luigi Conti & Daniela Marella
- 291-324 Recent Developments on Statistical Transfer Learning
by Zhengyu Zhu & Yibo Yan & Gefei Li & Riquan Zhang
- 325-346 On Metric Choice in Dimension Reduction for Fréchet Regression
by Abdul‐Nasah Soale & Congli Ma & Siyu Chen & Obed Koomson
- 347-381 A Comparative Review of Specification Tests for Diffusion Models
by A. López‐Pérez & D. Diz‐Castro & M. Febrero‐Bande & W. González‐Manteiga
- 382-411 Medical Knowledge Integration Into Reinforcement Learning Algorithms for Dynamic Treatment Regimes
by Sophia Yazzourh & Nicolas Savy & Philippe Saint‐Pierre & Michael R. Kosorok
- 412-444 Inference via Robust Optimal Transportation: Theory and Methods
by Yiming Ma & Hang Liu & Davide La Vecchia & Matthieu Lerasle
- 445-463 Pre‐Smoothing Methods for Transition Probabilities in Complex Non‐Markovian Multistate Models
by Gustavo Soutinho & Luís Meira‐Machado
- 464-483 The Role of Dice in the Emergence of the Probability Calculus
by David R. Bellhouse & Christian Genest
- 484-485 New Perspectives in Mathematical and Statistical Methods for Actuarial Sciences and Finance, Michele La Rocca, Massimiliano Menzietti, Cira Perna, and Marilena Sibillo, Springer Nature Switzerland AG, 2025, viii + 261 pages, £119.99, hardcover. ISBN: 978‐3‐032‐05550‐7 (print); 978‐3‐032‐05551‐4 (eBook)
by Svetlozar Rachev
- 486-487 Data Science and Risk Analytics in Finance and Insurance, Tze Leung Lai and Haipeng Xing, Chapman & Hall/CRC Financial Mathematics Series, 2024, 366 pages, $99.99, hardcover; $94.99, Kindle. ISBN: 978‐1‐4398‐3948‐5
by Svetlozar Rachev
- 487-489 Machine Learning in Finance: Trends, Developments and Business Practices in the Financial Sector Musa Gun and Burcu Kartal Springer Nature Switzerland AG, 2025, xi + 204 pages, £149.99, hardcover ISBN: 978‐3‐031‐83265‐9 (print); 978‐3‐031‐83266‐6 (eBook)
by Svetlozar Rachev
- 489-491 Fundamentals of Robust Machine Learning: Handling Outliers and Anomalies in Data Science Resve Saleh, Sohaib Majzoub, A.K. Md. Ehsanes Saleh John Wiley & Sons, 2025, xiv + 416 pages, £103.95, hardcover ISBN: 978‐1‐394‐29437‐4
by Zhilin Xiong & Tiefeng Ma
- 491-492 Master Protocol Clinical Trials for Evidence Generation: Strategies, Designs, Operations and Case Studies. Ruixiao Lu, Jingjing Ye, Chengxing (Cindy) Lu, William Wang, Chapman & Hall. CRC Biostatistics Series, 2026, 436 pages, £140.00, hardcover ISBN: 978‐1‐032‐54452‐6
by Debashis Ghosh
- 492-493 A First Course in Statistical Learning, With Data Examples and Python Code Johannes Lederer Springer, 2025, xiv + 282 pages, £79.99, hardcover ISBN: 978‐3‐031‐30276‐3
by Rauf Ahmad
- 494-495 Machine Learning: A Concise Introduction, 2nd Edition, Steven W. Knox. Wiley, 2026, xiv + 419 pages, $109.95, hardcover. ISBN: 978‐1‐394‐32525‐2
by Alastair Young
- 495-496 High‐dimensional Probability: An Introduction with applications in data science, 2nd Edition Roman Vershynin Cambridge University Press, 2026, viii + 333 pages, £65, hardcover ISBN: 9781009490672
by Rauf Ahmad
- 497-497 Applied Time Series Analysis for the Social Sciences: Specification, Estimation and Inference. Regina M. Baker. John Wiley & Sons, 2026, xiii + 226 pages, $76.95, hardcover. ISBN: 9780470749937
by Johan Lyhagen
- 498-499 Bayesian Workflow Andrew Gelman, Aki Vehtari, and Richard McElreath, with Daniel Simpson, Charles C. Margossian, Yuling Yao, Lauren Kennedy, Jonah Gabry, Paul‐Christian Bürkner, Martin Modrák, and Vianey Leos Barajas CRC Press, 2026, xiii + 538 pages, $59.99/£35.99, paperback ISBN: 978‐0‐367‐49014‐0
by Alastair Young
April 2026, Volume 94, Issue 1
December 2025, Volume 93, Issue 3
August 2025, Volume 93, Issue 2
April 2025, Volume 93, Issue 1
August 2024, Volume 92, Issue 2
- 137-159 A Conversation With Marc Hallin
by Christian Genest
- 160-193 Penalisation Methods in Fitting High‐Dimensional Cointegrated Vector Autoregressive Models: A Review
by Marie Levakova & Susanne Ditlevsen
- 194-245 Estimation of Graphical Models: An Overview of Selected Topics
by Li‐Pang Chen
- 246-262 Matrix‐Variate Time Series Analysis: A Brief Review and Some New Developments
by Ruey S. Tsay
- 263-283 On the Most Effective Use of Continuous Auxiliary Variables in Regression Estimation in Survey Sampling
by Takis Merkouris
- 284-321 On the Inversion‐Free Newton's Method and Its Applications
by Huy N. Chau & J. Lars Kirkby & Dang H. Nguyen & Duy Nguyen & Nhu N. Nguyen & Thai Nguyen
- 322-323 Post‐Shrinkage Strategies in Statistical and Machine Learning for High Dimensional Data Syed Ejaz Ahmed, Feryaal Ahmed, Bahadir Yüzbaşı. Chapman & Hall/CRC Press, 2023, 408 page, £125/$160, hardback ISBN: 9780367763442
by Ravindra Khattree
- 324-324 Soccer Analytics: An Introduction Using R. Clive Beggs Chapman & Hall/CRC, 2024, xvi + 380 pages, £49.99, hardcover ISBN: 978‐1‐0323‐5758‐4
by Antony Unwin
- 325-326 Controlled Epidemiological Studies. Marie Reilly. Chapman & Hall/CRC Biostatistics Series, CRC Press, 2023, xxxii + 439 pages, £115/$150, hardcover. ISBN: 978‐0‐367‐18678‐4 (hbk)
by Reijo Sund
April 2024, Volume 92, Issue 1
- 1-16 Estimating the Reciprocal of a Binomial Proportion
by Jiajin Wei & Ping He & Tiejun Tong
- 17-42 Correspondence Analysis Using the Cressie–Read Family of Divergence Statistics
by Eric J. Beh & Rosaria Lombardo
- 43-61 Increasing Trust in New Data Sources: Crowdsourcing Image Classification for Ecology
by Edgar Santos‐Fernandez & Julie Vercelloni & Aiden Price & Grace Heron & Bryce Christensen & Erin E. Peterson & Kerrie Mengersen
- 62-86 Hybrid SV‐GARCH, t‐GARCH and Markov‐switching covariance structures in VEC models—Which is better from a predictive perspective?
by Anna Pajor & Justyna Wróblewska & Łukasz Kwiatkowski & Jacek Osiewalski
- 87-105 Generalised Income Inequality Index
by Ziqing Dong & Yves Tille & Giovanni Maria Giorgi & Alessio Guandalini
- 106-129 Parametric Quantile Beta Regression Model
by Marcelo Bourguignon & Diego I. Gallardo & Helton Saulo
- 130-132 Multidimensional Stationary Time Series Dimension Reduction and Prediction Marianna Bolla, Tamás Szabados Routledge, 2023, xiv + 318 pages, $59.95, paperback ISBN: 9780367619701
by Brian W. Sloboda
- 132-134 An Introduction to R and Python for Data Analysis: A Side‐by‐Side Approach Taylor R. Brown Chapman and Hall/CRC, 2023, 246 pages (hardback $99.95, ebook $74.96) ISBN 978‐10322032‐56
by Daniel Fischer
- 134-135 Geographic Data Science With Python Sergio Rey, Dani Arribas‐Bel, Levi John Wolf CRC Press, 2023, xiv + 410 pages, 119 Color & 4 B/W Illustrations, £39.19/$89.95, paperback ISBN: 978‐1‐032‐44595‐3 (pbk)
by Krzysztof Podgórski
December 2023, Volume 91, Issue 3
August 2023, Volume 91, Issue 2
- 165-192 Calibration Techniques Encompassing Survey Sampling, Missing Data Analysis and Causal Inference
by Shixiao Zhang & Peisong Han & Changbao Wu
- 193-217 Simultaneous inference for linear mixed model parameters with an application to small area estimation
by Katarzyna Reluga & María‐José Lombardía & Stefan Sperlich
- 218-242 Path algorithms for fused lasso signal approximator with application to COVID‐19 spread in Korea
by Won Son & Johan Lim & Donghyeon Yu
- 243-268 ABC of the future
by Henri Pesonen & Umberto Simola & Alvaro Köhn‐Luque & Henri Vuollekoski & Xiaoran Lai & Arnoldo Frigessi & Samuel Kaski & David T. Frazier & Worapree Maneesoonthorn & Gael M. Martin & Jukka Corander
- 269-293 Accounting for Non‐ignorable Sampling and Non‐response in Statistical Matching
by Daniela Marella & Danny Pfeffermann
- 294-317 A Bootstrap Variance Procedure for the Generalised Regression Estimator
by Marius Stefan & Michael A. Hidiroglou
- 318-342 A Statistical Review of Template Model Builder: A Flexible Tool for Spatial Modelling
by Aaron Osgood‐Zimmerman & Jon Wakefield
- 343-345 The Effect: An Introduction to Research Design and Causality, Nick Huntington‐Klein, Chapman & Hall/CRC, 2022, xiv +v620 pages, $39.95, paperback. ISBN: 9781032125787
by Brian W. Sloboda
- 345-347 Modern Applied Regressions: Bayesian and Frequentist Analysis of Categorical and Limited Response Variables with R and Stan, Jun Xu, Chapman & Hall/CRC, 2023, xv + 281 pages, £80.99/$108, hardcover ISBN: 9780367173876 (hbk); 9781032376745 (pbk); 9780429056468 (ebk)
by Shuangzhe Liu
- 347-348 Data Conscience: Algorithmic Siege on Our Humanity, Brandeis Hill Marshall, Wiley, 2022, xxv + 326 pages, paperback £30.99, ISBN: 978‐1‐119‐82118‐2
by Debashis Ghosh
- 348-348 Number Savvy: From the Invention of Numbers to the Future of Data, George Sciadas, Chapman & Hall/CRC, 2022, 312 pages, £56.99/$74.95, hardcover, ISBN 9781032362151
by Fabrizio Durante
April 2023, Volume 91, Issue 1
December 2022, Volume 90, Issue S1
December 2022, Volume 90, Issue 3
August 2022, Volume 90, Issue 2
- 193-215 Variable Selection for Interval‐censored Failure Time Data
by Mingyue Du & Jianguo Sun
- 216-236 Modelling Excess Zeros in Count Data: A New Perspective on Modelling Approaches
by John Haslett & Andrew C. Parnell & John Hinde & Rafael de Andrade Moral
- 237-258 Directions Old and New: Palaeomagnetism and Fisher (1953) Meet Modern Statistics
by Janice L. Scealy & David Heslop & Jia Liu & Andrew T. A. Wood
- 259-284 A Review of Seasonal Adjustment Diagnostics
by Tucker McElroy & Anindya Roy
- 285-305 Estimating Monotonic Hazard Ratio Functions of Time
by Anthony Y.C. Kuk
- 306-327 Sparser Ordinal Regression Models Based on Parametric and Additive Location‐Shift Approaches
by Gerhard Tutz & Moritz Berger
- 328-345 Constructing Flexible, Identifiable and Interpretable Statistical Models for Binary Data
by Henry R. Scharf & Xinyi Lu & Perry J. Williams & Mevin B. Hooten
- 346-373 Nudging a Pseudo‐Science Towards a Science—The Role of Statistics in a Rainfall Enhancement Trial in Oman
by Ray Chambers & Stephen Beare & Scott Peak & Mohammed Al‐Kalbani
- 374-396 White Noise Test from Ordinal Patterns in the Entropy–Complexity Plane
by Eduarda T. C. Chagas & Marcelo Queiroz‐Oliveira & Osvaldo A. Rosso & Heitor S. Ramos & Cristopher G. S. Freitas & Alejandro C. Frery
- 397-410 Unlucky Number 13? Manipulating Evidence Subject to Snooping
by Uwe Hassler & Marc‐Oliver Pohle
- 411-412 Extreme Value Theory with Applications to Natural Hazards: From Statistical Theory to Industrial Practice. Edited by Nicolas Bousquet and Pietro Bernardara. Springer Cham, 2021, xxii + 481 pages, $199.99. ISBN: 978‐3‐030‐74941‐5
by Fabrizio Durante
- 412-414 Game Data Science. Magy Seif El‐Nasr, Truong‐Huy D. Nguyen, Alessandro Canossa, Anders Drachen, Oxford University Press, 2022, xvi + 416 pages, $105 (hardback)/$55 (paperback) ISBN‐10: 019289787X, ISBN‐13: 978‐0192897879 (hardback), 978–0192897886 (paperback)
by Shuangzhe Liu
- 414-415 Wavelets from a Statistical Perspective. Maarten Jansen. Chapman and Hall/CRC, 2022, xix + 325 pages, $96 (hardcover). ISBN: 978‐1‐032‐20067‐5 (hardcover)
by Krzysztof Podgórski
- 415-417 Administrative Records for Survey Methodology. Edited by Asaph Young Chun, Michael D. Larsen, Gabriele Durrant, Jerome P. Reiter. John Wiley and Sons, 2021, 384 pages, $128.95 (hardcover). ISBN: 978‐1‐1192‐7204‐5
by Reijo Sund
April 2022, Volume 90, Issue 1
- 1-40 An Interview with John M. Abowd
by Ian Schmutte & Lars Vilhuber
- 41-61 An Efficient Test for Homogeneity of Mean Directions on the Hyper‐sphere
by Hemangi V. Kulkarni & Ashis SenGupta
- 62-77 On testing for homogeneity with zero‐inflated models through the lens of model misspecification
by Wei‐Wen Hsu & Nadeesha R. Mawella & David Todem
- 78-99 Bayesian Models Applied to Cyber Security Anomaly Detection Problems
by José A. Perusquía & Jim E. Griffin & Cristiano Villa
- 100-117 Effect of Covariate Omission in Randomised Controlled Trials: A Review and Simulation Study
by Ryota Ishii & Kazushi Maruo & Masahiko Gosho
- 118-145 A Critical Review of LASSO and Its Derivatives for Variable Selection Under Dependence Among Covariates
by Laura Freijeiro‐González & Manuel Febrero‐Bande & Wenceslao González‐Manteiga
- 146-164 Efficient and robust propensity‐score‐based methods for population inference using epidemiologic cohorts
by Lingxiao Wang & Barry I. Graubard & Hormuzd A. Katki & Yan Li
- 165-183 Assessing Bayesian Semi‐Parametric Log‐Linear Models: An Application to Disclosure Risk Estimation
by Cinzia Carota & Maurizio Filippone & Silvia Polettini
- 184-185 Population Genomics with R, Emmanuel Paradis, Chapman & Hall/CRC, 2020, 394 pages, $120, hardback. ISBN: 978‐1‐1386‐0818‐4
by Daniel Fischer
- 185-186 Fundamentals of Causal Inference with R, Babette A. Brumback, Chapman & Hall/CRC, 2021, xi + 236 pages, $69.95, hardcover. ISBN: 978‐0‐3677‐0505‐3
by Debashis Ghosh
- 187-188 Replication and Evidence Factors in Observational Studies, Paul R. Rosenbaum, Chapman & Hall/CRC, 2021, xviii + 254 pages, $120, hardback, ISBN: 978‐036748‐388‐3
by John H. Maindonald
- 189-191 Communicating with Data: The Art of Writing for Data Science, Deborah Nolan and Sara Stoudt, Oxford University Press, 2021, vii + 331 pages, $45.95, paperback, ISBN: 978‐0‐1988‐6275‐8
by Kelly McConville
- 191-192 Practical Smoothing: The Joys of P‐splines, Paul H. C. Eilers and Brian D. Marx, Cambridge University Press, 2021, xii + 199 pages, $59.99, hardcover, ISBN: 978‐1‐1084‐8295‐0
by Krzysztof Podgórski
December 2021, Volume 89, Issue 3
- 435-446 2021 International Statistical Institute Mahalanobis Award: A Tribute to Heleno Bolfarine
by Fabrizio Ruggeri & Henrique Bolfarine & Jorge Luis Bazán & Reinaldo B. Arellano‐Valle & Victor Hugo Lachos Davila & Mário de Castro
- 447-480 Initialization of Hidden Markov and Semi‐Markov Models: A Critical Evaluation of Several Strategies
by Antonello Maruotti & Antonio Punzo
- 481-504 Estimating Sampling Errors in Consumer Price Indices
by Paul A. Smith
- 505-531 Spatial Regression With Partial Differential Equation Regularisation
by Laura M. Sangalli
- 532-549 Spatial Sampling for Non‐compact Patterns
by Linda Altieri & Daniela Cocchi
- 550-572 Practical Review and Comparison of Modified Covariance Estimators for Linear Mixed Models in Small‐sample Longitudinal Studies with Missing Data
by Masahiko Gosho & Hisashi Noma & Kazushi Maruo
- 573-604 Supervised Machine Learning Techniques: An Overview with Applications to Banking
by Linwei Hu & Jie Chen & Joel Vaughan & Soroush Aramideh & Hanyu Yang & Kelly Wang & Agus Sudjianto & Vijayan N. Nair
- 605-634 A Review of Spatial Causal Inference Methods for Environmental and Epidemiological Applications
by Brian J. Reich & Shu Yang & Yawen Guan & Andrew B. Giffin & Matthew J. Miller & Ana Rappold
- 635-656 A Two‐level GREG Estimator for Consistent Estimation in Household Surveys
by Anne Konrad & Jan Pablo Burgard & Ralf Münnich
- 657-658 Parameter Redundancy and Identifiability Diana Cole Chapman and Hall/CRC, 2020, xx + 252 pages, £140, hardcover ISBN: 978‐1‐498‐72087‐8
by Carl M. O'Brien
- 658-659 Measurement Error in Longitudinal Data Alexandru Cernat and Joseph W. Sakshaug, Editors Oxford University Press, 2021, xii + 448 pages, $115.00, hardcover ISBN: 978‐0‐19‐885998‐7
by Carol Joyce Blumberg
- 659-660 Direction Dependence in Statistical Modeling: Methods of Analysis Wolfgang Wiedermann, Daeyoung Kim, Engin A. Sungur and Alexander von Eye, Editors Wiley, 2021, 432 pages, £102, hardcover ISBN: 978‐1‐119‐52307‐9
by Fabrizio Durante
- 660-661 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
by Wendy L. Martinez
- 661-663 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: 978‐0‐3671‐3559‐1
by Antony Unwin
- 663-666 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
by Sathyanarayan Anand
August 2021, Volume 89, Issue 2
- 215-215 Foreword for the mini issue in honour of Prof C. R. Rao
by Scott H. Holan & Nalini Ravishanker
- 216-236 C. Radhakrishna Rao: A Century in Statistical Science
by Nandini Kannan & Debasis Kundu
- 237-249 Rao–Blackwellisation in the Markov Chain Monte Carlo Era
by Christian P. Robert & Gareth Roberts
- 250-273 Information Geometry
by Shun‐ichi Amari
- 274-301 Predictive Inference Based on Markov Chain Monte Carlo Output
by Fabian Krüger & Sebastian Lerch & Thordis Thorarinsdottir & Tilmann Gneiting
- 302-322 On the Effects of Spatial Confounding in Hierarchical Models
by Widemberg S. Nobre & Alexandra M. Schmidt & João B. M. Pereira
- 323-348 A multivariate Poisson model based on comonotonic shocks
by Juliana Schulz & Christian Genest & Mhamed Mesfioui
- 349-366 Ranks and Pseudo‐ranks—Surprising Results of Certain Rank Tests in Unbalanced Designs
by Edgar Brunner & Frank Konietschke & Arne C. Bathke & Markus Pauly
- 367-381 Another Look at the Lady Tasting Tea and Differences Between Permutation Tests and Randomisation Tests
by Jesse Hemerik & Jelle J. Goeman
- 382-401 Data Integration by Combining Big Data and Survey Sample Data for Finite Population Inference
by Jae‐Kwang Kim & Siu‐Ming Tam
- 402-419 Fisher's g Revisited
by Barry G. Quinn
- 420-421 Computational Genomics with R Altuna Akalin Chapman & Hall/CRC, 2021, xxii + 440 pages, £99.99, hardcover ISBN: 978‐1‐4987‐8185‐5
by Krzysztof Podgórski
- 422-423 Random Forests with R Robin Genuer & Jean‐Michel Poggi Springer, 2019, x + 99 pp, £49.99, paperback. ISBN: 978‐3‐030‐56484‐1
by John H. Maindonald
- 423-426 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
by Magdalen Beiting‐Parrish & Jay Verkuilen
- 426-429 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
by Hon Keung Tony Ng
- 429-431 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
by Jordan Rodu
- 431-432 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
by Krzysztof Podgórski
- 433-433 A Survey of Differentially Private Regression for Clinical and Epidemiological Research
by Joseph Ficek & Wei Wang & Henian Chen & Getachew Dagne & Ellen Daley
April 2021, Volume 89, Issue 1
December 2020, Volume 88, Issue S1
Printed from https://ideas.repec.org/s/bla/istatr.html