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 hardware, software, and package reports.
Officially cited as: Comput Stat
Classical and Bayesian inference in two parameter exponential distribution with randomly censored data
Local optimization of black-box functions with high or infinite-dimensional inputs: application to nuclear safety
Angelina Roche (March 2018)
- Journal Title
- Computational Statistics
- Volume 14 / 1999 - Volume 33 / 2018
- Print ISSN
- Online ISSN
- Springer Berlin Heidelberg
- Additional Links
- Industry Sectors
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