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 and software articles

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
62 days
Submission to first decision
386 days
Submission to acceptance
97,736 (2020)
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Latest articles

This journal has 77 open access articles

Journal updates

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About this journal

Electronic ISSN
1613-9658
Print ISSN
0943-4062
Abstracted and indexed in
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