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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
Impact factor
1.0 (2022)
5 year impact factor
1.0 (2022)
Downloads
54,110 (2023)

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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. Current Index to Statistics
  9. Dimensions
  10. EBSCO
  11. EI Compendex
  12. Google Scholar
  13. INIS Atomindex
  14. Japanese Science and Technology Agency (JST)
  15. Mathematical Reviews
  16. Naver
  17. OCLC WorldCat Discovery Service
  18. Portico
  19. ProQuest
  20. Research Papers in Economics (RePEc)
  21. SCImago
  22. SCOPUS
  23. Science Citation Index Expanded (SCIE)
  24. TD Net Discovery Service
  25. UGC-CARE List (India)
  26. Wanfang
  27. zbMATH
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