research
∙
07/03/2023
Nonparametric Bayesian approach for quantifying the conditional uncertainty of input parameters in chained numerical models
Nowadays, numerical models are widely used in most of engineering fields...
share
research
∙
05/12/2023
A comparison between Bayesian and ordinary kriging based on validation criteria: application to radiological characterisation
In decommissioning projects of nuclear facilities, the radiological char...
research
∙
12/21/2022
Second-level global sensitivity analysis of numerical simulators with application to an accident scenario in a sodium-cooled fast reactor
Numerical simulators are widely used to model physical phenomena and glo...
research
∙
02/19/2019
New statistical methodology for second level global sensitivity analysis
Global sensitivity analysis (GSA) of numerical simulators aims at studyi...
research
∙
02/18/2019
Aggregated test of independence based on HSIC measures
Dependence measures based on reproducing kernel Hilbert spaces, also kno...
research
∙
12/29/2018
Advanced methodology for uncertainty propagation in computer experiments with large number of inputs
In the framework of the estimation of safety margins in nuclear accident...
research
∙
01/29/2018
