Computational Statistics (CS)

Computational Statistics (CompStat) is an international journal that promotes the publication of applications and methodological research in Computational Statistics and Data Science. The focus of papers in CompStat is on the contribution to and influence of computing on statistics and vice versa with special attention to contributions analyzing complex data sets. The journal provides a forum for computer scientists, mathematicians, and statisticians in a variety of fields of statistics such as biometrics, econometrics, big data analysis, functional data analysis, image analysis, spatial data analysis, graphics, simulation, algorithms, knowledge-based systems, non/semi-parametrics, and Bayesian computing. CompStat publishes package reports and software articles.

Computational Statistics (CS) is :-

• International, Peer-Reviewed, Open Access, Refereed, Computational Mathematics, Statistics and Probability, Statistics, Probability and Uncertainty, biometrics, econometrics, big data analysis, functional data analysis, image analysis, spatial data analysis, graphics, simulation, algorithms, knowledge-based systems, non/semi-parametrics, Bayesian computing , Online or Print , Quarterly Journal

• UGC Approved, ISSN Approved: P-ISSN P-ISSN: 0943-4062, E-ISSN: 1613-9658, Established: 1986, Impact Factor: 1.4
• Does Not Provide Crossref DOI

• Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE