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The journals Computational Statistics and Data Analysis (CSDA) and Econometrics and Statistics (EcoSta), published by Elsevier, are the official journals of the CMStatistics network. The CMStatistics also publishes the Annals of Statistical Data Science as a supplement to the CSDA. Details for EcoSta can be found here.

Computational Statistics and Data Analysis

The CSDA is an international journal dedicated to the dissemination of methodological research and applications in the areas of computational statistics and data analysis. The journal consists of four refereed sections which are divided into the following subject areas:

I) Computational Statistics
II) Statistical Methodology for Data Analysis
III) Special Applications
IV) Annals of Statistical Data Science

Full details of the aims and scopes of the journal can be found here here.

CSDA Annals of Statistical Data Science

CMStatistics is inviting submissions for the 1st issue of the CSDA Annals of Statistical Data Science. The Annals of Statistical Data Science is published as a supplement to the journal of Computational Statistics & Data Analysis. It will serve as an outlet for distinguished research papers using advanced computational and/or statistical methods for tackling challenging data analytic problems. The Annals will become a valuable resource for well-founded theretical and applied data-driven research. Authors submitting a paper to CSDA may request that it be considered for inclusion in the Annals. Each issue will be assigned to several Guest Associate Editors who will be responsible, together with the CSDA Co-Editors, for the selection of papers.

Submissions for the Annals should contain a significant computational or statistical methodological component for data analytics. In particular, the Annals welcomes contributions at the interface of computing, statistics addressing problems involving large and/or complex data. Emphasis will be given to comprehensive and reproducible research, including data-driven methodology, algorithms and software. There is no deadline for submissions. Papers can be submitted at any time. When they have been received, they will enter the editorial system immediately. All submissions must contain original unpublished work not being considered for publication elsewhere. Please submit your paper electronically using the Elsevier Editorial System: http://ees.elsevier.com/csda (Choose Article Type: Research paper, and then Select ``Section IV. Annals of Statistical Data Science'').

Editors: Erricos Kontoghiorghes and Ana Colubi (CMStatistics)

Guest Associate Editors: Julyan Arbel, Peter Buhlmann, Stefano Castruccio, Bertrand Clarke, Christophe Croux, Maria Brigida Ferraro, Yulia Gel Michele Guindani, Xuming He, Sangwook Kang, Ivan Kojadinovic, Chenlei Leng, Taps Maiti, Geoffrey McLachlan, Hans-Georg Mueller, Igor Pruenster, Juan Romo, Elvezio Ronchetti, Anne Ruiz-Gazen, Syvain Sardi, Xinyuan Song, Cheng Yong Tang, Roy Welsch and Peter Winker.