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In a quantitative model with uncertain inputs, the uncertainty of the output can be summarized by a risk measure. We … produces a global sensitivity measure, explicitly linking sensitivity and uncertainty analyses. We focus on the case of …
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We consider the problem where a modeller conducts sensitivity analysis of a model consisting of random input factors, a corresponding random output of interest, and a baseline probability measure. The modeller seeks to understand how the model (the distribution of the input factors as well as...
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