International Statistical Review

International Statistical Review
Title	International Statistical Review
Discipline	Statistics
Abbreviation	Int. Stat. Rev.
Publisher	Wiley-Blackwell on behalf of the International Statistical Institute
History	1933–present
Frequency	Quarterly
Issn	0306-7734

Contents

International Statistical Review

The International Statistical Review is a scholarly journal associated with the International Statistical Institute, publishing research on statistical methodology, applications, and history. It serves as a forum connecting authors and readers from institutions such as the Royal Statistical Society, American Statistical Association, Institute of Mathematical Statistics, Bernoulli Society, and regional societies like the International Biometric Society. The journal has featured work by contributors affiliated with universities including University of Oxford, Harvard University, University of Cambridge, Stanford University, and University of Chicago.

History

First published in 1933 under the auspices of the International Statistical Institute, the journal followed the lineage of statistical publications produced by organizations such as the Royal Statistical Society and the American Statistical Association. Early editors collaborated with figures connected to the League of Nations statistical office and scholars from the London School of Economics, the University of Paris (Sorbonne), and the University of Rome La Sapienza. During World War II the journal maintained continuity while many contributors were affiliated with institutions like Princeton University, Columbia University, University of Toronto, and the University of Melbourne. Postwar expansion saw contributions from researchers associated with the United Nations, OECD, World Bank, and national statistical offices such as the United States Census Bureau and the Office for National Statistics (UK). The late 20th century brought methodological papers linked to scholars at the Massachusetts Institute of Technology, California Institute of Technology, ETH Zurich, University of California, Berkeley, and the Australian National University. Recent decades include editorial and thematic intersections with conferences like the World Statistics Congress, symposia organized by the International Association for Statistical Computing, and special issues responding to developments at the European Statistical System and the Asian Statistical Conference.

The journal publishes original articles, review essays, and historical pieces covering statistical theory and practice developed by authors from departments such as Department of Statistics, University of Oxford, Department of Biostatistics, Johns Hopkins University, and research centers like the Institute for Advanced Study and Max Planck Institute for Demographic Research. Topics have ranged from classical inference rooted in work from Karl Pearson-linked traditions and the Fisherian paradigm to contemporary computational advances influenced by the Stanford AI Lab, DeepMind-adjacent research, and Monte Carlo methods originating from collaborations at Los Alamos National Laboratory. The scope embraces applied case studies tied to fields represented by institutions including World Health Organization projects, International Monetary Fund analyses, and environmental assessments involving NASA and the European Space Agency. The journal has published historical retrospectives referencing figures connected to Andrei Kolmogorov, Jerzy Neyman, Ronald Fisher, John Tukey, and David Cox, and has featured methodological crossovers impacting disciplines at Yale University, Princeton Plasma Physics Laboratory, and the London School of Hygiene & Tropical Medicine.

Governance involves collaboration between the International Statistical Institute and established publishing houses such as Wiley-Blackwell; editorial boards typically include scholars from institutions like University of Washington, University of Michigan, Carnegie Mellon University, University of Pennsylvania, and Imperial College London. The editor-in-chief coordinates peer review with associate editors drawn from regional societies including the Statistical Society of Canada, Deutsche Statistische Gesellschaft, Società Italiana di Statistica, and the Japanese Statistical Society. Advisory roles are often held by emeriti affiliated with the Royal Society, the National Academy of Sciences (United States), and international bodies like the International Council for Science. Editorial policies align with professional standards promoted by organizations such as the Committee on Publication Ethics and respond to global initiatives reflected in meetings at venues like the International Science Council and the United Nations Educational, Scientific and Cultural Organization.

Published quarterly, the journal is distributed via platforms operated by Wiley-Blackwell and is accessible to subscribers at universities such as University of California system, State University of New York, National University of Singapore, and Peking University. Libraries and consortia including the British Library, Library of Congress, National Diet Library (Japan), and the Bibliothèque nationale de France hold archival runs. The journal offers hybrid access options similar to arrangements used by publishers in agreements with entities such as the European Research Council and national research funders like the National Institutes of Health and the UK Research and Innovation. Indexing occurs in databases maintained by organizations like Clarivate Analytics, Scopus (Elsevier), and regional indexing services used by the African Academy of Sciences and the Academia Sinica.

Category:Statistics journals