129 citations · 497 across the 43 of their papers we have counts for
6 papers · 1 filter
Shapley effects and proportional marginal effects for global sensitivity analysis: application to computed tomography scan organ dose estimation
Anais Foucault, Marouane Il Idrissi, Bertrand Iooss +1
Concerns have been raised about possible cancer risks after exposure to computed tomography (CT) scans in childhood. The health effects of ionizing radiation are then estimated fro…
Advanced methodology for uncertainty propagation in computer experiments with large number of inputs
Bertrand Iooss, Amandine Marrel
In the framework of the estimation of safety margins in nuclear accident analysis, a quantitative assessment of the uncertainties tainting the results of computer simulations is es…
Probabilistic risk bounds for the characterization of radiological contamination
Géraud Blatman, Thibault Delage, Bertrand Iooss +1
The radiological characterization of contaminated elements (walls, grounds, objects) from nuclear facilities often suffers from a too small number of measurements. In order to dete…
Visualization tools for uncertainty and sensitivity analyses on thermal-hydraulic transients
Anne-Laure Popelin, Bertrand Iooss
In nuclear engineering studies, uncertainty and sensitivity analyses of simulation computer codes can be faced to the complexity of the input and/or the output variables. If these…
An efficient methodology for modeling complex computer codes with Gaussian processes
Amandine Marrel, Bertrand Iooss, Francois Van Dorpe +1
Complex computer codes are often too time expensive to be directly used to perform uncertainty propagation studies, global sensitivity analysis or to solve optimization problems. A…
Global sensitivity analysis of computer models with functional inputs
Bertrand Iooss, Mathieu Ribatet
Global sensitivity analysis is used to quantify the influence of uncertain input parameters on the response variability of a numerical model. The common quantitative methods are ap…