129 citations · 497 across the 43 of their papers we have counts for
21 papers · 1 filter
On the coalitional decomposition of parameters of interest
Marouane Il Idrissi, Nicolas Bousquet, Fabrice Gamboa +2
Understanding the behavior of a black-box model with probabilistic inputs can be based on the decomposition of a parameter of interest (e.g., its variance) into contributions attri…
Proportional marginal effects for global sensitivity analysis
Margot Herin, Marouane Il Idrissi, Vincent Chabridon +1
Performing (variance-based) global sensitivity analysis (GSA) with dependent inputs has recently benefited from cooperative game theory concepts.By using this theory, despite the p…
Model predictivity assessment: incremental test-set selection and accuracy evaluation
Elias Fekhari, Bertrand Iooss, Joseph Muré +2
Unbiased assessment of the predictivity of models learnt by supervised machine-learning methods requires knowledge of the learned function over a reserved test set (not used by the…
Developments and applications of Shapley effects to reliability-oriented sensitivity analysis with correlated inputs
Marouane Il Idrissi, Vincent Chabridon, Bertrand Iooss
Reliability-oriented sensitivity analysis methods have been developed for understanding the influence of model inputs relative to events which characterize the failure of a system…
A Visual Sensitivity Analysis for Parameter-Augmented Ensembles of Curves
Alejandro Ribes, Joachim Pouderoux, Bertrand Iooss
Engineers and computational scientists often study the behavior of their simulations by repeated solutions with variations in their parameters, which can be for instance boundary v…
A graph clustering approach to localization for adaptive covariance tuning in data assimilation based on state-observation mapping
Sibo Cheng, Jean-Philippe Argaud, Bertrand Iooss +2
An original graph clustering approach to efficient localization of error covariances is proposed within an ensemble-variational data assimilation framework. Here the localization t…