Department of Statistics Unitmark
Dietrich College of Humanities and Social Sciences

Case Studies in Bayesian Statistics VII

SEVENTH WORKSHOP ON CASE STUDIES IN BAYESIAN STATISTICS

September 12-13, 2003
Carnegie Mellon University, Pittsburgh, PA

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* ANNOUNCEMENT AND CALL FOR ABSTRACTS *
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The Seventh Workshop on Case Studies of Bayesian Statistics will take
place on September 12th and 13th 2003 at Carnegie Mellon University,
Pittsburgh, PA. The Workshop will feature in-depth presentations and
discussions of substantial applications of Bayesian statistics to
problems in science and technology, and poster presentations of
contributed papers on applied Bayesian work. In conjunction with the
workshop, the Department of Statistics' Seventh Morris H DeGroot
memorial lecture will be delivered by Stephen Stigler.

*** ABSTRACTS DUE JANUARY 20 ***

We are calling for proposals in the form of detailed abstracts (about
2 pages) from those interested in presenting one of the main invited
papers for discussion. To be considered for a presentation, abstracts
are due by January 20, 2003. Abstracts should emphasize scientific and
technological background, and should clarify the extent to which the
statistical work will address key components of the problems
articulated. They should also include statements that make clear the
amount of work that will be accomplished by the time the manuscripts
are due, which is July 1, and clearly identify the collaborators and
particularly the non-statisticians who will be involved in the
presentation. Case studies to be presented at the meeting will be
selected by the organizing committee on the basis of all abstracts
received.

The organizing committee of the Seventh Workshop includes Alicia
Carriquiry, Constantine Gatsonis, David Higdon, Rob Kass, Donna
Pauler, and Isa Verdinelli.

Contributed paper abstracts will be due September 1, 2003.

Please submit abstracts via our webpage
http://www.stat.cmu.edu/bayesworkshop
which contains additional information, including abstracts of
previous, successful case studies.

If you have questions, please contact Rob Kass at the
kass@stat.cmu.edu, or any of the other organizers.