A reminder of the forthcoming deadline for submissions for this special
issue.
STATISTICS AND COMPUTING
Call for submissions on
ADAPTIVE MONTE CARLO METHODS
Nowadays Monte Carlo methods play a central role within Bayesian
statistics, however the difficulty with tuning computational methods
such as MCMC algorithms to particular complex problem has led to
considerable interest in adaptive Monte Carlo procedures. This special
issue will highlight important advances within adaptive Monte Carlo
methods. Adaptive Monte Carlo methods will be interpreted quite broadly,
and will include adaptive MCMC, adaptive population Monte Carlo, and
adaptive importance sampling amongst others.
Papers can cover theoretical, methodological or practical issues related
to adaptive Monte Carlo. However, the readership of Statistics and
Computing should be considered when preparing a manuscript, and
theoretical results should be linked to the practical implementation of
methods where possible.
Papers submitted to the special issue will be reviewed according to the
regular procedure of the journal. Accepted papers will appear in a
single issue of Statistics and Computing, currently scheduled for the
end of 2008. Please contact Paul Fearnhead
([log in to unmask]) for questions on the suitability of your
paper(s). Submissions must be made online through the journal site at
http://www.springerlink.com/link.asp?id=100219
The deadline for submission is October 1st, 2007.
For those interested in submitting a paper for this special issue, but
with concerns about meeting this deadline, please contact Paul Fearnhead
([log in to unmask]).
