Fw: Workshop on Case Studies in Bayesian Statistics and Machine Learning

["Alexandra M. Schmidt" <alex@im.ufrj.br>]

---------- Forwarded Message -----------
From: heidi sestrich <heidi@stat.cmu.edu>
To: isba-news@stat.cmu.edu
Sent: Wed, 27 May 2009 15:39:19 -0400
Subject: Workshop on Case Studies in Bayesian Statistics and Machine Learning

The First Workshop on Case Studies in 
Bayesian Statistics and Machine
Learning will take place on October 15th 
-- 17th, 2009 at Carnegie
Mellon University, Pittsburgh, PA. The 
Workshop will focus on
applications of Bayesian Statistics and 
Machine Learning to problems
in science and technology. It will 
feature three different tracks:
In-depth contributed presentations and 
discussions of substantial
research, shorter presentations by young 
researchers and poster
presentations. The workshop builds upon 
the Case Studies in Bayesian
Statistics Workshop which was held at 
CMU for the last two decades. In
conjunction with the workshop, the 
Department of Statistics' Eleventh
Morris H DeGroot Memorial Lecture will 
be delivered by Professor
Michael Jordan, University of California 
at Berkeley.

The invited case studies this year include:

Rigorous Error Analysis for Small Angle 
Neutron Scattering Datasets
using Bayesian Inference
Chip Hogg, Jay Kadane, Jong Soo Lee and 
Sara Majetich

Decision theoretic Bayesian 
nonparametric inference for the molecular
characterisation and stratification of 
colorectal cancer using
genome-wide arrays
Christopher C. Holmes, Christopher Yau, 
Ian Tomlinson and Jean-Baptiste Cazier

and

Calibrating the Universe: a Bayesian 
Uncertainty Analysis of a Galaxy
Simulation
Ian Vernon, Richard Bower and Michael 
Goldstein

*************
YOUNG INVESTIGATOR ABSTRACTS DUE JULY 1

We are soliciting detailed abstracts (1 
page) of proposed 15-minute
presentations by young researchers 
(students or completed PhD within
five years).  These abstracts are due 
July 1, and should emphasize the
scientific problems and how the 
inferential statistical and/or machine
learning work solves the problems.

**************

Contributed paper abstracts for posters 
are due September 1, 2009.

The organizing committee includes Jay 
Kadane, Ziv Bar-Joseph, David
Blei, Merlise Clyde, Zoubin Ghahramani, 
David Heckerman, Tommi
Jaakkola, Rob Kass, Tony O'Hagan, and 
Dalene Stangl.

Please submit abstracts via our webpage
          http://bayesml1.stat.cmu.edu/

which contains additional information, 
including abstracts of
previous, successful case studies.

If you have questions, please contact 
Jay Kadane at kadane@stat.cmu.edu
or any of the other organizers.
--
------- End of Forwarded Message -------


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Alexandra Mello Schmidt, PhD
Professora Adjunta
Instituto de Matemática - UFRJ
Caixa Postal 68530 Rio de Janeiro - RJ 
CEP:21.945-970 Brasil
Tel: 0055 21 2562 7505 Ramal (Extension) 204
Fax: 0055 21 2562 7374

http://www.dme.ufrj.br/~alex
-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*
Cash your dreams before they slip away.  Lose your dreams and you lose your 
mind (From the "God of Small things").
Gentileza gera gentileza (Profeta Gentileza)