Computational Statistics (CompStat) is an international journal that fosters the publication of applications and methodological research in the field of computational statistics. The journal provides a forum for computer scientists, mathematicians, and statisticians working in a variety of areas in statistics, including biometrics, econometrics, data analysis, graphics, simulation, algorithms, knowledge-based systems, and Bayesian computing.

CompStat papers emphasize the contribution to and influence of computing on statistics and vice versa. The journal also publishes package reports.

Officially cited as: Comput Stat

  • Fosters the publication of applications and methodological research in the field of computational statistics
  • Emphasizes the contribution to and influence of computing on statistics and vice versa
  • Provides a forum for computer scientists, mathematicians, and statisticians working in a variety of areas in statistics
  • Publishes package reports 
  •  

Journal information

Editor-in-Chief
  • Philippe Vieu
Editors
  • Cathy W.S. Chen,
  • Usha Govindarajulu,
  • Paulo Canas Rodrigues
Publishing model
Hybrid (Transformative Journal). Learn about publishing Open Access with us

Journal metrics

0.744 (2019)
Impact factor
0.960 (2019)
Five year impact factor
85 days
Submission to first decision
448 days
Submission to acceptance
101,110 (2019)
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Latest issue

Volume 35

Issue 4, December 2020

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This journal has 63 open access articles
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  • COVID-19 and impact on peer review

    As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times.  Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.

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About this journal

Electronic ISSN
1613-9658
Print ISSN
0943-4062
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