research
∙
06/03/2020
Gaussian linear approximation for the estimation of the Shapley effects
In this paper, we address the estimation of the sensitivity indices call...
share
research
∙
07/30/2019
Block-diagonal covariance estimation and application to the Shapley effects in sensitivity analysis
In this paper, we aim to estimate block-diagonal covariance matrices for...
research
∙
12/21/2018
Variance reduction for estimation of Shapley effects and adaptation to unknown input distribution
The Shapley effects are global sensitivity indices: they quantify the im...
research
∙
03/16/2018
Gaussian Processes indexed on the symmetric group: prediction and learning
In the framework of the supervised learning of a real function defined o...
research
∙
01/12/2018
