
Statistics and Computing is a bi-monthly refereed journal that publishes papers covering the interface between the statistical and computing sciences.
The journal includes techniques for evaluating analytically intractable problems, such as bootstrap resampling, Markov chain Monte Carlo, sequential Monte Carlo, approximate Bayesian computation, search and optimization methods, stochastic simulation and Monte Carlo, graphics, computer environments, statistical approaches to software errors, information retrieval, machine learning, statistics of databases and database technology, huge data sets and big data analytics, computer algebra, graphical models, image processing, tomography, inverse problems and uncertainty quantification.
- Addresses the use of statistical concepts in computing science, for example, in machine learning, computer vision and data analytics, as well as the use of computers in data modelling, prediction and analysis
- Publishes original research reports, authoritative review papers, discussion papers, book review and software review sections
- Features special issues dedicated to important and emerging topics or the proceedings of relevant conferences
Journal information
- Editor-in-Chief
-
- Mark Girolami
- Publishing model
- Hybrid (Transformative Journal). Learn about publishing Open Access with us
Journal metrics
- 3.035 (2019)
- Impact factor
- 2.973 (2019)
- Five year impact factor
- 45 days
- Submission to first decision
- 272 days
- Submission to acceptance
- 158,169 (2019)
- Downloads
Latest issue
Latest articles
-
-
A wavelet-based approach for imputation in nonstationary multivariate time series
Authors (first, second and last of 4)
-
Implicitly adaptive importance sampling
Authors (first, second and last of 4)
-
-
About this journal
- Electronic ISSN
- 1573-1375
- Print ISSN
- 0960-3174
- Abstracted and indexed in
-
- ACM Digital Library
- ANVUR
- Australian Business Deans Council (ABDC) Journal Quality List
- CNKI
- Current Index to Statistics
- DBLP
- Dimensions
- EBSCO Applied Science & Technology Source
- EBSCO Computers & Applied Sciences Complete
- EBSCO Discovery Service
- Google Scholar
- Institute of Scientific and Technical Information of China
- Japanese Science and Technology Agency (JST)
- Journal Citation Reports/Science Edition
- Mathematical Reviews
- Naver
- OCLC WorldCat Discovery Service
- ProQuest Advanced Technologies & Aerospace Database
- ProQuest Central
- ProQuest SciTech Premium Collection
- ProQuest Technology Collection
- ProQuest-ExLibris Primo
- ProQuest-ExLibris Summon
- SCImago
- SCOPUS
- Science Citation Index Expanded (SciSearch)
- TD Net Discovery Service
- UGC-CARE List (India)
- zbMATH
- Copyright information
-
© Springer Science+Business Media, LLC, part of Springer Nature