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Fw: Re: BA publication announcement



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A new issue of the new electronic journal
BAYESIAN ANALYSIS has been published at  
http://ba.stat.cmu.edu.

The issue includes the following articles:

    * Deconvolution in High-Energy Astrophysics: Science,
      Instrumentation, and Methods
          David A. van Dyk, Alanna Connors, David N. Esch, 
          Peter Freeman, Hosung Kang, Margarita Karovska, 
          Vinay Kashyap, Aneta Siemiginowska, Andreas Zezas
      o Comment on article by van Dyk et al., 
          Ji Meng Loh and Andrew Gelman
      o Rejoinder
          David A. van Dyk and Hosung Kang
    * Inferring Particle Distribution in a Proton Accelerator Experiment
          Herbert K. H. Lee, Bruno Sanso, Weining Zhou, David M. Higdon
    * Bayesian nonparametric estimation of the radiocarbon calibration
      curve
          Caitlin E. Buck, Delil Gomez Portugal Aguilar, Cliff
          D. Litton and Anthony O'Hagan
    * Who Wrote Ronald Reagan's Radio Addresses?
          Edoardo M. Airoldi, Annelise G. Anderson, 
          Stephen E. Fienberg, and Kiron K. Skinner
    * Model-based subspace clustering
          Peter D. Hoff
    * A One-Pass Sequential Monte Carlo Method for Bayesian Analysis of
      Massive Datasets, by Suhrid Balakrishnan and David Madigan
    * Conjugate Analysis of the Conway-Maxwell-Poisson Distribution
          Joseph B. Kadane, Galit Shmueli, Thomas P. Minka, Sharad
          Borle, and Peter Boatwright
    * Misinformation in the conjugate prior for the linear model with
      implications for free-knot spline modelling
          Christopher J. Paciorek

The journal 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. 
Rob Kass is serving as Editor-in-Chief, Herbie Lee is Managing
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.

*************************************************
Dani Gamerman
Coord de PG em Estatistica - IM/UFRJ
Caixa Postal 68530
21945-970 Rio de Janeiro, RJ
tel (21) 2562 7911
fax (21) 2562 7374
dani@im.ufrj.br
http://dme.ufrj.br/dani
*************************************************