Global sensitivity analysis based on high-dimensional sparse surrogate construction
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DOI: 10.1007/s10483-017-2208-8
Abstract: Surrogate models are usually used to perform global sensitivity analysis (GSA) by avoiding a large ensemble of deterministic simulations of the Monte Carlo method to provide a reliable estimate of GSA indices. However, most surrogate… read more here.
Keywords: high dimensional; sparse surrogate; global sensitivity; sensitivity analysis ... See more keywords