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Abstract Details
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Activity Number:
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330
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, July 31, 2012 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Nonparametric Statistics
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| Abstract - #305595 |
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Title:
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A Nonintrusive Technique for Inverse Sensitivity Analysis
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Author(s):
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Simon Tavener*+ and Don Estep and Troy Butler
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Companies:
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Colorado State University and Colorado State University and The University of Texas at Austin
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Address:
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115 Weber Building, Fort Collins, CO, 80523, United States
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Keywords:
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inverse ;
sensitivity ;
analysis ;
non-intrusive
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Abstract:
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We discuss a non-intrusive numerical method for inverse sensitivity analysis of a deterministic map from a set of parameters to a randomly perturbed quantity of interest. The solution method has two stages: (1) approximating the unique set-valued solution to the inverse problem, and (2) applying measure theory to compute the approximate probability measure on the parameter space that solves the inverse problem. We analyze the properties of the method and discuss its implementation.
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