COMPUTATIONAL STATISTICS & DATA ANALYSIS
FINAL CALL FOR PAPERS
Special Issue on PARALLEL PROCESSING AND STATISTICS
Guest Editor: Erricos J. Kontoghiorghes
Scope
Submissions are invited for a special issue of Computational
Statistics & Data Analysis on Parallel Processing and Statistics. The
aim of the special issue is to make statisticians aware of recent
developments in parallel processing that can be used efficiently to
tackle problems that previously have been considered unsolvable. At
the same time the special issue will bring to the attention of the
parallel processing community the various computer intensive and
large-scale statistical problems with the ultimate aim of promoting
research in parallelism and statistics.
The special issue will consider papers addressing the design, analysis
and implementation of parallel algorithms for solving statistical
problems. Papers dealing with theoretical and practical issues
associated with parallel statistical algorithms, the impact of
parallelism on statistics and specific applications involving
parallelism and statistics will be considered for the peer review
sections of the journal. Software tutorial and reviews, products from
software organizations and supercomputer vendors, book reviews and
other relevant information on parallelism and statistics will be
considered for publication in the the fourth section of the journal
SSN (Statistical Software Newsletter).
Important Dates
* Submission Deadline: September 1, 1998.
* Acceptance Decision: February 1, 1999.
* Final Version Due: March 1, 1999.
* Publication Date: July, 1999 (tentative)
Submissions
The focus of the papers submitted to the special issue must contain a
parallel computing and statistical component. Authors who are
uncertain as to the suitability of their papers for the special issue
should contact the special issue editor. All papers submitted must
contain original unpublished work that is not being submitted for
publication elsewhere. Instructions to authors and general
information about the Computational Statistics & Data Analysis, the
official journal of the International Association of Statistical
Computing (IASC), which is published by Elsevier North-Holland can be
found in http://www.stat.unipg.it/iasc/Misc-stat-journ-CSDA.html.
Submission electronically is encouraged. Please e-mail a postscript
file of your manuscript together with a plain text cover letter to
[log in to unmask] Authors unable to submit
electronically may send four copies of their manuscript to:
Erricos John Kontoghiorghes (CSDA)
Institut d'informatique
Universite de Neuchatel
Emile-Argand 11
CH-2007 Neuchatel
Switzerland
E-mail: [log in to unmask]
--
Erricos John Kontoghiorghes
Institut d'informatique
Universite de Neuchatel
Rue Emile-Argand 11
CH-2007 Neuchatel
SWITZERLAND
Email: [log in to unmask]
Tel: +41 (0) 32 718 27 38
Fax: +41 (0) 32 718 27 01
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