Global sensitivity analysis and Wasserstein spaces

24 July 2020

Papers citing "Global sensitivity analysis and Wasserstein spaces"

9 / 9 papers shown

Title
Kernel-based sensitivity indices for any model behavior and screening M. Lamboni 28 0 0 04 Nov 2023
Kernel-based sensitivity analysis for (excursion) sets Noé Fellmann Christophette Blanchet-Scalliet C. Helbert Adrien Spagnol D. Sinoquet 27 4 0 16 May 2023
Regularizing nested Monte Carlo Sobol' index estimators to balance the trade-off between explorations and repetitions in global sensitivity analysis of stochastic models H. M. Kouye G. Mazo 19 0 0 17 Oct 2022
Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning models Marouane Il Idrissi Nicolas Bousquet Fabrice Gamboa Bertrand Iooss Jean-Michel Loubes 35 2 0 23 Sep 2022
Variance-based global sensitivity analysis of numerical models using R Hossein Mohammadi P. Challenor Clémentine Prieur 11 2 0 22 Jun 2022
Test comparison for Sobol Indices over nested sets of variables T. Klein Nicolas Peteilh Paul Rochet 16 1 0 31 Mar 2022
Exploiting deterministic algorithms to perform global sensitivity analysis of continuous-time Markov chain compartmental models with application to epidemiology H. M. Kouye G. Mazo Clémentine Prieur E. Vergu 22 1 0 15 Feb 2022
Sensitivity analysis for multidimensional and functional outputs Fabrice Gamboa Alexandre Janon T. Klein A. Lagnoux 44 114 0 07 Nov 2013
Density modification based reliability sensitivity analysis Paul Lemaître Ekatarina Sergienko A. Arnaud Nicolas Bousquet Fabrice Gamboa Bertrand Iooss 59 61 0 03 Oct 2012