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Overview

Annals of the Institute of Statistical Mathematics (AISM) aims to provide a forum for open communication among statisticians, and to contribute to the advancement of statistics as a science to enable humans to handle information in order to cope with uncertainties. It publishes high-quality papers that shed new light on the theoretical, computational and/or methodological aspects of statistical science. Emphasis is placed on (a) development of new methodologies motivated by real data, (b) development of unifying theories, and (c) analysis and improvement of existing methodologies and theories. It also seeks to contribute to statistical science in machine learning and econometrics. AISM is trying to make faster decisions after the reception. For example, around 60%, 80%, and 90% of submissions received from July 2019 to June 2020 had a review time from receipt to first decision of 1, 3, and 5 months or less, respectively.

Chief Editor
  • Yoshiyuki Ninomiya PhD

Journal metrics

Journal Impact Factor
0.6 (2024)
5-year Journal Impact Factor
1.0 (2024)
Downloads
53.5k (2025)

Journal information

Electronic ISSN
1572-9052
Print ISSN
0020-3157
Abstracted and indexed in
  1. ANVUR
  2. Australian Business Deans Council (ABDC) Journal Quality List
  3. BFI List
  4. Baidu
  5. CLOCKSS
  6. CNKI
  7. CNPIEC
  8. Chinese Academy of Medical Science (CAMS)
  9. Current Index to Statistics
  10. Dimensions
  11. EBSCO
  12. EI Compendex
  13. Google Scholar
  14. INIS Atomindex
  15. Japanese Science and Technology Agency (JST)
  16. Mathematical Reviews
  17. Naver
  18. OCLC WorldCat Discovery Service
  19. Ovid Discovery
  20. Portico
  21. ProQuest
  22. Research Papers in Economics (RePEc)
  23. SCImago
  24. SCOPUS
  25. Science Citation Index Expanded (SCIE)
  26. TD Net Discovery Service
  27. Wanfang
  28. eLibrary.ru
  29. zbMATH
© The Institute of Statistical Mathematics, Tokyo

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