Copula-based sensitivity measures of computer experiments

We combine results from copula theory with results from global sensitivity analysis, on one hand investigating if classical measures of association and concordance can be used in a sensitivity context, while on the other hand embedding sensitivity measures in a copula context. Graphical tools for visual sensitivity analysis are presented. Empirical Bernstein copulas are used for numerical estimation of distribution-based sensitivity measures.

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