Concerns have been raised about possible cancer risks after exposure to
...
In decommissioning projects of nuclear facilities, the radiological
char...
Data Assimilation (DA) and Uncertainty quantification (UQ) are extensive...
Understanding the behavior of a black-box model with probabilistic input...
Performing (variance-based) global sensitivity analysis (GSA) with depen...
Robustness studies of black-box models is recognized as a necessary task...
Unbiased assessment of the predictivity of models learnt by supervised
m...
Variance-based global sensitivity analysis, in particular Sobol' analysi...
The selection of a validation basis from a full dataset is often require...
Reliability-oriented sensitivity analysis methods have been developed fo...
Robustness analysis is an emerging field in the domain of uncertainty
qu...
In the framework of risk assessment in nuclear accident analysis,
best-e...
Engineers and computational scientists often study the behavior of their...
An original graph clustering approach to efficient localization of error...
In order to leverage the information embedded in the background state an...
The classical approach for quantiles computation requires availability o...
We study an industrial computer code related to nuclear safety. A major ...
In the framework of the estimation of safety margins in nuclear accident...
We gain robustness on the quantification of a risk measurement by accoun...