Global sensitivity analysis for models with spatially dependent outputs

Abstract

The global sensitivity analysis of a complex numerical model often calls for the estimation of variance-based importance measures, named Sobol’ indices. Metamodelbased techniques have been developed in order to replace the cpu time-expensive computer code with an inexpensive mathematical function, which predicts the computer code output. The common… (More)

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