Title: Statistical algorithms and software|
This track invites presentations in the area of
Statistical algorithms and software. Full papers will be considered for
publication in the first CSDA special issue which will inaugurate this section.
Details can be found below:
The journal "Computational Statistics and Data Analysis" aims to publish, inter
alia, papers with a strong algorithmic and software component. These papers will
appear in the first section of the journal under the heading - "Computational
In addition, the journal offers authors the
possibility to enhance their articles by including multimedia files along with
the online article. These may be in the form of algorithms or software. These
files will appear embedded in the article on ScienceDirect at
Over time, an archive of statistical algorithms
will be established at this site. The files should be in non-proprietary
formats, to ensure that the long-term archival needs of electronic publishing
are met. The multimedia files will also be listed on the web page of the
"International Association for Statistical Computing".
The files will be freely available at this site.
Copyright of the files will remain with the authors and their use will require
the citation of the related article (journal, author, title and date of the
publication). No liability is assumed by the contributors, the publisher, or the
Significant research contributions relating to the
design, analysis and implementation of algorithms and software to support
statistical methods and applications will be considered for inclusion in the "Computational
Statistics" section of CSDA.
Algorithms and software contributions must be of use in statistical
applications. An algorithm will be considered for inclusion if it provides a
novel approach to the solution of a statistical problem, or has a performance
superior to that of the existing algorithms. This might entail improvements in
execution speed, numerical stability, portability, etc.
A software submission must include test data to
allow the correctness of the software to be assessed. The test data should be
sufficiently comprehensive to demonstrate the robustness of the software in all
When presenting the statistical algorithms, the issues of accuracy, complexity
and portability must be addressed. A complete program for testing the algorithm
should be supplied so that results obtained theoretically can be verified in
practice. The algorithm must be complete, portable, well documented, and well
structured. There is no standard requirement for pseudo codes. However,
implementations should be expressed in a widely used language.
Submissions of brief notes and remarks concerning existing statistical
algorithms and software are also encouraged.
School of Computational Sciences
George Mason University
Fairfax, VA 22030
Department of Mathematics,
National University of Ireland, Galway,
Tel: +353 91 492043
Fax: +353 91 494542
Universite de Neuchatel,
Rue Emile-Argand 11, CP2,
Tel: +41 (0)32 718 2727
Fax: +41 (0)32 718 2701