COMPUTATIONAL STATISTICS & DATA ANALYSIS
CALL FOR PAPERS
Special Issue on BAYESIAN COMPUTING, METHODS AND APPLICATIONS
http://www.elsevier.com/locate/csda
http://www.compstat2012.org/SpecialIssues/Bayesian.pdf
The last two decades have seen an explosion in the popularity and use
of Bayesian methods, largely as a result of the advances in sampling
based approaches to inference. At the same time, important advances
and developments in methodology have coincided with highly
sophisticated breakthroughs in computational techniques. Consequently,
practitioners are increasingly turning to Bayesian methods so as to
effectively tackle more complex and realistic models and problems,
particularly as richer sources of data continue to become available.
The primary aim of the issue is to illustrate and showcase recent
advances in Bayesian computation and inferential methods, as well as
highlight their application to empirical problems in a broad range of
areas, including econometrics, biology, finance and medicine, amongst
many others. Methodological contributions that highlight recent
developments in Bayesian computing are strongly encouraged.
The papers should have a computational or advanced data analytic
component in order to be considered for publication. Authors who are
uncertain about the suitability of their papers should contact the
special issue editors. All submissions must contain original
unpublished work not being considered for publication elsewhere.
Submissions will be refereed according to standard procedures for
Computational Statistics & Data Analysis. Information about the
journal can be found at http://www.elsevier.com/locate/csda.
The deadline for submissions is 30 June 2012. However, papers can be
submitted at any time; and, when they have been received, they will
enter the editorial system immediately.
Papers for the special issue should be submitted using the Elsevier
Electronic Submission tool EES: http://ees.elsevier.com/csda. In the
EES please choose the special issue on "Bayesian Computing, Methods
and Applications" and the Co-Editor responsible for the special
issues.
The special issue editors:
Cathy W. S. Chen, Feng Chia University, Taiwan.
E-mail: [log in to unmask]
David Dunson, Duke University, USA.
E-mail: [log in to unmask]
Sylvia Fruhwirth-Schnatter, Johannes Kepler University, Austria.
E-mail: [log in to unmask]
Stephen G. Walker, University of Kent, Canterbury, UK
E-mail: [log in to unmask]
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