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20132026
most citedGlobal Sensitivity Analysis: a new generation of mighty estimators based on rank statistics

8 citations · 18 across the 18 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

math.PR2020

Large deviation results for triangular arrays of semiexponential random variables

Thierry Klein, Agnès Lagnoux, Pierre Petit

Asymptotics deviation probabilities of the sum S n = X 1 + + X n of independent and identically distributed real-valued random variables have been extens…

math.ST2020

Global sensitivity analysis and Wasserstein spaces

Jean-Claude Fort, Thierry Klein, Agnès Lagnoux

Sensitivity indices are commonly used to quantity the relative inuence of any specic group of input variables on the output of a computer code. In this paper, we focus both on comp…

math.PR2020

Probabilistic proofs of large deviation results for sums of semiexponential random variables and explicit rate function at the transition

Fabien Brosset, Thierry Klein, Agnès Lagnoux +1

Asymptotics deviation probabilities of the sum S n = X 1 + + X n of independent and identically distributed real-valued random variables have been extens…

math.ST2020★ 8 cited

Global Sensitivity Analysis: a new generation of mighty estimators based on rank statistics

Fabrice Gamboa, Pierre Gremaud, Thierry Klein +1

We propose a new statistical estimation framework for a large family of global sensitivity analysis methods. Our approach is based on rank statistics and uses an empirical correlat…

math.ST2020

Sensitivity analysis in general metric spaces

Fabrice Gamboa, Thierry Klein, Agnès Lagnoux +1

In this paper, we introduce new indices adapted to outputs valued in general metric spaces. This new class of indices encompasses the classical ones; in particular, the so-called S…