66 citations · 258 across the 53 of their papers we have counts for
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stat.CO2021
Global sensitivity analysis using derivative-based sparse Poincaré chaos expansions
Nora Lüthen, Olivier Roustant, Fabrice Gamboa +3
Variance-based global sensitivity analysis, in particular Sobol' analysis, is widely used for determining the importance of input variables to a computational model. Sobol' indices…
math.ST2021
Fairness seen as Global Sensitivity Analysis
Clément Bénesse, Fabrice Gamboa, Jean-Michel Loubes +1
Ensuring that a predictor is not biased against a sensible feature is the key of Fairness learning. Conversely, Global Sensitivity Analysis is used in numerous contexts to monitor…