Special Issue on STATISTICAL ALGORITHMS AND SOFTWARE
of the journal Computational Statistics and Data Analysis
http://www.elsevier.com/locate/csda
3rd world conference on Computational Statistics & Data Analysis
http://www.csdassn.org/europe/csda2005/
Track 25: Statistical algorithms and software
Description
-----------
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 Statistics".
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
www.sciencedirect.com/science/journal/01679473.
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 IASC.
Scope
-----
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.
Submissions
-----------
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
relevant circumstances.
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.
Co-Chairs
---------
James Gentle
School of Computational Sciences
MS 5C3
George Mason University
Fairfax, VA 22030
USA
Tel: +703-993-1994
Fax: +703-993-1993
E-mail: [EMAIL PROTECTED]
John Hinde
Department of Mathematics,
National University of Ireland, Galway,
Ireland
Tel: +353 91 492043
Fax: +353 91 494542
E-mail: [EMAIL PROTECTED]
Cristian Gatu
Institut d'informatique,
Universite de Neuchatel,
Rue Emile-Argand 11, CP2,
CH-2007 Neuchatel
Switzerland
Tel: +41 32 718 2727
Fax: +41 32 718 2701
E-mail: [EMAIL PROTECTED]
