Global sensitivity analysis for stochastic simulators based on generalized lambda surrogate models

4 May 2020

Papers citing "Global sensitivity analysis for stochastic simulators based on generalized lambda surrogate models"

12 / 12 papers shown

Title
On Fractional Moment Estimation from Polynomial Chaos Expansion Lukávs Novák Marcos Valdebenito Matthias Faes 18 2 0 04 Mar 2024
Reliability analysis for data-driven noisy models using active learning Anderson V. Pires M. Moustapha S. Marelli Bruno Sudret AI4CE 14 1 0 19 Jan 2024
Polynomial Chaos Surrogate Construction for Random Fields with Parametric Uncertainty Joy N. Mueller K. Sargsyan Craig J. Daniels H. Najm 11 0 0 01 Nov 2023
A spectral surrogate model for stochastic simulators computed from trajectory samples Nora Lüthen S. Marelli Bruno Sudret 9 17 0 12 Jul 2022
Variance-based global sensitivity analysis of numerical models using R Hossein Mohammadi P. Challenor Clémentine Prieur 11 2 0 22 Jun 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
Stochastic polynomial chaos expansions to emulate stochastic simulators X. Zhu Bruno Sudret 15 17 0 07 Feb 2022
Reweighting samples under covariate shift using a Wasserstein distance criterion J. Reygner A. Touboul 30 2 0 19 Oct 2020
Non-intrusive and semi-intrusive uncertainty quantification of a multiscale in-stent restenosis model Dongwei Ye A. Nikishova L. Veen Pavel S. Zun Alfons G. Hoekstra 11 20 0 01 Sep 2020
Global sensitivity analysis and Wasserstein spaces J. Fort T. Klein A. Lagnoux 18 15 0 24 Jul 2020
Emulation of stochastic simulators using generalized lambda models Xujia Zhu Bruno Sudret 14 23 0 02 Jul 2020
Global sensitivity analysis of computer models with functional inputs Bertrand Iooss M. Ribatet 135 87 0 07 Feb 2008