A Common Rationale for Global Sensitivity Measures and Their Estimation
Abstract
Measures of sensitivity and uncertainty have become an integral part of risk analysis. Many such measures have a conditional probabilistic structure, for which a straightforward Monte Carlo estimation procedure has a double-loop form. Recently, a more efficient single-loop procedure has been introduced, and consistency of this procedure has been demonstrated separately for particular measures, such as those based on variance, density, and...
Paper Details
Title
A Common Rationale for Global Sensitivity Measures and Their Estimation
Published Date
Feb 9, 2016
Journal
Volume
36
Issue
10
Pages
1871 - 1895
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