34 citations · 34 across the 2 of their papers we have counts for
5 papers
Gaussian linear approximation for the estimation of the Shapley effects
Baptiste Broto, François Bachoc, Marine Depecker +1
In this paper, we address the estimation of the sensitivity indices called "Shapley eects". These sensitivity indices enable to handle dependent input variables. The Shapley eects…
Block-diagonal covariance estimation and application to the Shapley effects in sensitivity analysis
Baptiste Broto, François Bachoc, Laura Clouvel +1
In this paper, we aim to estimate block-diagonal covariance matrices for Gaussian data in high dimension and in fixed dimension. We first estimate the block-diagonal structure of t…
Efficient Seismic fragility curve estimation by Active Learning on Support Vector Machines
Rémi Sainct, Cyril Feau, Jean-Marc Martinez +1
Fragility curves which express the failure probability of a structure, or critical components, as function of a loading intensity measure are nowadays widely used (i) in Seismic Pr…
The Uranie platform: an Open-source software for optimisation, meta-modelling and uncertainty analysis
J-B. Blanchard, G. Damblin, J-M. Martinez +2
The high-performance computing resources and the constant improvement of both numerical simulation accuracy and the experimental measurements with which they are confronted, bring…
Calibration and improved prediction of computer models by universal Kriging
François Bachoc, Guillaume Bois, Josselin Garnier +1
This paper addresses the use of experimental data for calibrating a computer model and improving its predictions of the underlying physical system. A global statistical approach is…