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Jim Berger with Duke University |
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Date: September 3, 2004
Time: 2:00pm
Location: NIA, Rm 404
Speaker: Jim Berger with Duke University
Subject: "Statistical Validation of Computer Models"
One of the major activities in science and engineering today is the development of math-based computer models of scientific and engineering processes. The most basic question in the evaluation of such computer models is "Does the computer model adequately represent reality?"
A six-step computer model validation strategy will be discussed. The methodology is based on using spatial and Bayesian statistical tools. The latter are particularly suited to treating the major issues associated with the validation process: quantifying multiple sources of error and uncertainty in computer models; combining multiple sources of information; and updating validation assessments as new information is acquired.
The framework has been implemented for several test bed computer models that will be used to illustrate the proposed validation process, as time permits.
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