CALL FOR PAPERS
CSDA Annals of Statistical Data Science
http://www.elsevier.nl/locate/csda

We are inviting submissions for the *CSDA Annals of Statistical Data
Science*.

The Annals of Statistical Data Science is published as a subject area
of the journal of Computational Statistics & Data Analysis.  It will
serve as an outlet for 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
theoretical 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All submissions must contain original unpublished work not being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 Manager tool EM:
https://www.editorialmanager.com/csda/.
In the EM please select the SI: Annals of SDS (Statistical Data
Science) or select 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.

For further information please send an email to csda@dcs.bbk.ac.uk and
info@cmstatistics.org.