STATISTICS AND COMPUTING
Note: The following journal information is for reference only. Please check the journal website for updated information prior to submission.
Journal Title
STATISTICS AND COMPUTING
STAT COMPUT
ISSN / eISSN
0960-3174 / 1573-1375
Aims and Scope
Statistics and Computing is a bi-monthly refereed journal which publishes papers covering the range of the interface between the statistical and computing sciences.
In particular, it 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. Specific topics which are covered include: 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.
In addition, the journal contains original research reports, authoritative review papers, discussed papers, and occasional special issues on particular topics or carrying proceedings of relevant conferences. Statistics and Computing also publishes book review and software review sections.
In particular, it 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. Specific topics which are covered include: 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.
In addition, the journal contains original research reports, authoritative review papers, discussed papers, and occasional special issues on particular topics or carrying proceedings of relevant conferences. Statistics and Computing also publishes book review and software review sections.
Subject Area
COMPUTER SCIENCE, THEORY & METHODS
STATISTICS & PROBABILITY
CiteScore
3.60
View Trend
CiteScore Ranking
| Category | Quartile | Rank |
|---|---|---|
| Mathematics - Statistics and Probability | Q1 | #45/262 |
| Mathematics - Statistics, Probability and Uncertainty | Q1 | #36/160 |
| Mathematics - Computational Theory and Mathematics | Q2 | #55/165 |
| Mathematics - Theoretical Computer Science | Q2 | #50/127 |
Web of Science Core Collection
| Science Citation Index Expanded (SCIE) | Social Sciences Citation Index (SSCI) |
|---|---|
| Indexed | - |
| Category (Journal Citation Reports 2023) | Quartile |
|---|---|
| COMPUTER SCIENCE, THEORY & METHODS - SCIE | Q3 |
| STATISTICS & PROBABILITY - SCIE | Q1 |
H-index
61
Country/Area of Publication
NETHERLANDS
Publisher
Springer US
Publication Frequency
Quarterly
Year Publication Started
1991
Annual Article Volume
109
Open Access
NO
Contact
SPRINGER, VAN GODEWIJCKSTRAAT 30, DORDRECHT, NETHERLANDS, 3311 GZ
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