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 will be 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 will also be published periodically.