Workshop on Large-scale inverse problems and uncertainty quantification

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

---------- Forwarded Message -----------
From: Bani Mallick <bmallick@stat.tamu.edu>
To: "bayes-news@stat.cmu.edu" <bayes-news@stat.cmu.edu>
Sent: Wed, 24 Nov 2010 12:46:34 -0600
Subject: [BAYES-NEWS] Workshop on Large-scale inverse problems and uncertainty
quantification

There will be a workshop in ``Large-Scale Inverse Problems and
Uncertainty Quantification'', February 24-25, 2011, organized by the
Institute for scientific computation (IAMCS) of Texas A&M University,
College Station.

The ability to solve large-scale inverse problems and to quantify
uncertainty is an essential precondition towards the goal of accurate
predictions in many data-intensive applications. Challenges in this area
are numerous due to multiple scales and uncertainties in physical
processes. The workshop will focus on:

    *
      Efficient data assimilation techniques.
    *
      Robust and accurate model reduction techniques.
    *
      Constructing and assessing the statistical accuracy of emulators.
    *
      Implementation of these methods on today's computer architectures.

For more details check http://isc.tamu.edu/events/inverseuq

Bani Mallick

-- 
Dr. Bani K. Mallick
Professor, Department of Statistics
Director, Center for Statistical Bioinformatics
Director, Bayesian Modeling Lab
Texas A&M, College station
Tel: 9798451275, web site: stat.tamu.edu/~bmallick
------- 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
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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)