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Computational Statistics

Journal Title

  • Computational Statistics

ISSN

  • E 1613-9658 | P 0943-4062 | 0943-4062 | 1613-9658

Publisher

  • Physica-Verlag Gmbh und Co.

Listed on(Coverage)

JCR1997-2019
SJR1999-2019
CiteScore2011-2019
SCIE2010-2021
SCOPUS2017-2020

Active

  • Active

    based on the information

    • SCOPUS:2020-10

Country

  • GERMANY

Aime & Scopes

  • Computational Statistics (CompStat) is an international journal which promotes the publication of applications and methodological research in the field of Computational Statistics. The focus of papers in CompStat is on the contribution to and influence of computing on statistics and vice versa. The journal provides a forum for computer scientists, mathematicians, and statisticians in a variety of fields of statistics such as biometrics, econometrics, data analysis, graphics, simulation, algorithms, knowledge based systems, and Bayesian computing. CompStat publishes hardware, software plus package reports.

Homepage

Article List

1 - 6 out of 6 results.

SCIESCOPUS
Models for autoregressive processes of bounded counts: How different are they?

Kim, Hee-Young; Weiss, Christian H.; Moeller, Tobias A.

ArticleIssue Date2020CitationCOMPUTATIONAL STATISTICS, v.35, no.4, pp.1715 - 1736PublisherSPRINGER HEIDELBERG
SCIESCOPUS
Stability approach to selecting the number of principal components

Song, Jiyeon; Shin, Seung Jun

ArticleIssue Date2018CitationCOMPUTATIONAL STATISTICS, v.33, no.4, pp.1923 - 1938PublisherSPRINGER HEIDELBERG
SCIESCOPUS
Permutation tests using least distance estimator in the multivariate regression model

Sohn, Sooncheol; Jung, Byoung Cheol; Jhun, Myoungshic

ArticleIssue Date2012CitationCOMPUTATIONAL STATISTICS, v.27, no.2, pp.191 - 201PublisherSPRINGER HEIDELBERG
SCIESCOPUS
Comparison of various statistical methods for detecting disease outbreaks

Choi, Byeong Yeob; Kim, Ho; Go, Un Yeong; Jeong, Jong-Hyeon; Lee, Jae Won

ArticleIssue Date2010CitationCOMPUTATIONAL STATISTICS, v.25, no.4, pp.603 - 617PublisherSPRINGER HEIDELBERG
SCIESCOPUS
Bayesian multiple change-point estimation with annealing stochastic approximation Monte Carlo

Kim, Jaehee; Cheon, Sooyoung

ArticleIssue Date2010CitationCOMPUTATIONAL STATISTICS, v.25, no.2, pp.215 - 239PublisherSPRINGER HEIDELBERG
SCIESCOPUS
Empirical Bayes analysis of unreplicated microarray data

Cho, HyungJun; Kang, Jaewoo; Lee, Jae K.

ArticleIssue Date2009CitationCOMPUTATIONAL STATISTICS, v.24, no.3, pp.393 - 408PublisherSPRINGER HEIDELBERG
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