[UAI] Bayesian Analysis New Issue Online A new issue of the new electronic journal BAYESIAN ANALYSIS
has been published at http://ba.stat.cmu.edu.   Many of the articles in
this issue (and the next one, to be released September 1) are 
contributed papers associated
with the Valencia / ISBA Eighth World Meeting on Bayesian Statistics, 
which was
held in Benidorm, Spain in early June, 2006.  Short summaries of these 
papers will appear in
the Bayesian Statistics 8 volume, forthcoming from Oxford University
Press. For the first time in the history of the Valencia conference, 
Bayesian
Analysis staff handled all of the refereeing and editing of these 
contributed papers. We look forward
to publishing more refereed papers from ISBA-related conferences, 
including the upcoming
BISP-5 (Fifth Workshop on Bayesian Inference in Stochastic Processes, 
Valencia, Spain)
in June 2007, the Ninth Workshop on Case Studies of Bayesian Statistics 
in October 20007,
and MCMSki II (the 3rd IMS-ISBA Joint Meeting, Bormio, Italy) in January
2008.

The issue includes the following articles:
o Nonparametric Estimation of Kullback-Leibler Information Illustrated 
by Evaluating Goodness of Fit,
       by Kert Viele.
o Bayesian Multivariate Areal Wombling for Multiple Disease Boundary 
Analysis,
       by Haijun Ma and Bradley P. Carlin
o Bayesian encompassing specification test under not completely known 
partial observability,
        by Carlos Almeida and Michel Mouchart, pp 303--318, posted 
online 2007-01-26
o  Local Influence on Posterior Distributions under Multiplicative Modes 
of Perturbation,
       by Angelika van der Linde.
o A gamma model for DNA mixture analyses,
       by R. G. Cowell, S. L. Lauritzen and J. Mortera.
o Bayesian inference for an extended simple regression measurement error 
model using skewed priors,
       by Josemar Rodrigues and Heleno Bolfarine.
o  Assessment of Locally Influential Observations in Bayesian Models,
       by Russell B. Millar and Wayne S. Stewart.
o Importance Re-sampling MCMC for Cross-Validation in Inverse Problems,
       by S. Bhattacharya and J. Haslett.
o Identifying outliers in Bayesian hierarchical models: a 
simulation-based approach,
       by E. C. Marshall and D. J. Spiegelhalter.

The journal is sponsored by the International Society for Bayesian 
Analysis (ISBA).
Its editors are Phil Dawid, David Dunson, David Heckerman, Michael 
Jordan, Fabrizio Ruggeri, and Dalene Stangl. Brad Carlin is serving as 
Editor-in-Chief, Herbie Lee is Managing Editor, Angelika van der Linde 
is Production Editor, Marina Vanucci is Deputy Editor, and Pantelis 
Vlachos is System Managing Editor.

Bayesian Analysis seeks to publish a wide range of articles that
demonstrate or discuss Bayesian methods in some theoretical or applied
context. The journal welcomes submissions involving presentation of new
computational and statistical methods; reviews, criticism, and
discussion of existing approaches; historical perspectives; description
of important scientific or policy application areas; case studies; and
methods for experimental design, data collection, data sharing, or
data mining. Evaluation of submissions is based on importance of content
and effectiveness of communication.

We aim to provide reports to authors within 10 weeks of submission on
at least 80% of articles submitted.


