Overview
Statistical Inference for Stochastic Processes is an international journal publishing articles on parametric and nonparametric inference for discrete- and continuous-time stochastic processes.
- The journal's focus extends to applications in diverse sciences like biology, chemistry, physics, finance, and economics.
- Co-Editor-in-Chief
-
- Siegfried Hörmann,
- Arnaud Gloter
- Impact factor
- 0.8 (2022)
- 5 year impact factor
- 0.8 (2022)
- Submission to first decision (median)
- 11 days
- Downloads
- 39,108 (2023)
Latest articles
Journal information
- Electronic ISSN
- 1572-9311
- Print ISSN
- 1387-0874
- Abstracted and indexed in
-
- ANVUR
- Australian Business Deans Council (ABDC) Journal Quality List
- BFI List
- Baidu
- CLOCKSS
- CNKI
- CNPIEC
- Current Index to Statistics
- Dimensions
- EBSCO
- EconLit
- Emerging Sources Citation Index
- Google Scholar
- Japanese Science and Technology Agency (JST)
- Mathematical Reviews
- Naver
- Norwegian Register for Scientific Journals and Series
- OCLC WorldCat Discovery Service
- Portico
- ProQuest
- Research Papers in Economics (RePEc)
- SCImago
- SCOPUS
- TD Net Discovery Service
- UGC-CARE List (India)
- Wanfang
- zbMATH
- Copyright information