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Journal of Computational Statistics and Modeling

Journal of Computational Statistics and Modeling

About the Journal

The Journal of Computational Statistics and Modeling (JCSM) publishes papers which make theoretical and methodological advances relating to computational aspects of data science such as computational statistics, Bayesian computation, computational mathematics, and data mining. Papers that develop new graphical methods, resampling, and other computationally intensive methods are also particularly welcomed.

Computational-intensive assessments of statistical methodologies and comparisons of the performance statistical models for real-world applications in various fields will also be considered for publication.

Special issues dedicated to a specific topic of current interest in statistics and multidisciplinary research providing comprehensive and up-to-date reviews is also published periodically.

Peer-Review Process

All submitted manuscripts are subject to initial appraisal by the Editor, and if found suitable for further consideration, will be peer-reviewed. The review process is double blinded and submission is online.

Editor in Chief

The Editor-in-Chief of the JCSM is Prof. Farzad Eskandari, Full Professor of Statistics.

Further Information

  • Language: English
  • Frequency: Quarterly
  • Type: Scholarly
  • Publication Types: Online and Print
  • Website: http://jcsm.atu.ac.ir