Jul 24, 2020 · In this paper, we focus both on computer codes the output of which is a cumulative distribution function and on stochastic computer codes. We ...

Sensitivity indices are commonly used to quantify the relative influence of any specific group of input variables on the output of a computer code.

Jul 24, 2020 · In this paper, we focus both on computer codes the output of which is a cumulative distribution function and on stochastic computer codes. We.

Jan 15, 2021 · The aim of this work is to give answers to the following questions. 101. Question 1 How can we perform Global Sensitivity Analysis (GSA) when ...

This paper focuses both on computer codes the output of which is a cumulative distribution function and on stochastic computer codes and proposes a way to ...

Jun 24, 2021 · In this paper, we focus both on computer codes, the output of which is a cumulative distribution function, and on stochastic computer codes. We.

Oct 22, 2024 · Fort et al. (2021) utilises the Wasserstein distance to introduce global sensitivity indices for computer codes whose output is a distribution ...

Aug 21, 2024 · We examine the construction of variable importance measures for multivariate responses using the theory of optimal transport.

Mar 7, 2024 · We examine the construction of variable importance measures for multivariate responses using the theory of optimal transport.

Sep 6, 2023 · Global sensitivity analyses (GSAs) overcome this problem by sampling the parameter space according to the error distribution and thereby the ...