The first issue of the new electronic journal
BAYESIAN ANALYSIS has been published at
http://ba.stat.cmu.edu.
The first issue includes the following articles:
S. Fienberg, ``When Did Bayesian Inference Become `Bayesian'?"
A. Gelfand, J. Silander, S. Wu, A. Latimer, P. Lewis, A.
Rebelo and M. Holder, ``Explaining Species Distribution Patterns Through
Hierarchical Modeling," with commentary by J. Hoeting and J. VerHoef.
L. House, M. Clyde and Y. Huang, ``Bayesian Identification of
Differential Gene Expression Induced by Metals in Human Bronchial Epithelial
Cells."
D. Blei and M. Jordan, ``Variational inference for Dirichlet process
mixtures."
C. Holmes and L. Held, ``Bayesian auxiliary variable models
for binary and multinomial regression."
J. Andrade and A. O'Hagan, ``Bayesian robustness modelling using
regularly varying distributions."
BAYESIAN ANALYSIS is sponsored by the International Society
for Bayesian Analysis (ISBA). Its founding editors are
Alicia Carriquiry, Phil Dawid, David Heckerman, Xiao-Li Meng,
Christian Robert, Fabrizio Ruggeri, and Dalene Stangl.
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.
Our goal is to provide reports to authors within 10 weeks of submission
on at least 80% of articles submitted. We have achieved this goal for
the approximately 50 papers handled to date.
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