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Global sensitivity analysis for stochastic simulators based on
  generalized lambda surrogate models
v1v2v3v4 (latest)

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

Reliability Engineering & System Safety (RESS), 2019
4 May 2020
Xujia Zhu
Bruno Sudret
ArXiv (abs)PDFHTML

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

11 / 11 papers shown
On Fractional Moment Estimation from Polynomial Chaos Expansion
On Fractional Moment Estimation from Polynomial Chaos Expansion
Lukávs Novák
Marcos Valdebenito
Matthias Faes
206
11
0
04 Mar 2024
Reliability analysis for data-driven noisy models using active learning
Reliability analysis for data-driven noisy models using active learning
Anderson V. Pires
M. Moustapha
S. Marelli
Bruno Sudret
AI4CE
123
9
0
19 Jan 2024
Polynomial Chaos Surrogate Construction for Random Fields with
  Parametric Uncertainty
Polynomial Chaos Surrogate Construction for Random Fields with Parametric Uncertainty
Joy N. Mueller
K. Sargsyan
Craig J. Daniels
H. Najm
338
6
0
01 Nov 2023
A spectral surrogate model for stochastic simulators computed from
  trajectory samples
A spectral surrogate model for stochastic simulators computed from trajectory samplesComputer Methods in Applied Mechanics and Engineering (CMAME), 2022
Nora Lüthen
S. Marelli
Bruno Sudret
243
29
0
12 Jul 2022
Variance-based global sensitivity analysis of numerical models using R
Variance-based global sensitivity analysis of numerical models using R
Hossein Mohammadi
P. Challenor
Clémentine Prieur
223
3
0
22 Jun 2022
Exploiting deterministic algorithms to perform global sensitivity
  analysis of continuous-time Markov chain compartmental models with
  application to epidemiology
Exploiting deterministic algorithms to perform global sensitivity analysis of continuous-time Markov chain compartmental models with application to epidemiologyComputational and Applied Mathematics (CAM), 2022
H. M. Kouye
G. Mazo
Clémentine Prieur
E. Vergu
178
1
0
15 Feb 2022
Stochastic polynomial chaos expansions to emulate stochastic simulators
Stochastic polynomial chaos expansions to emulate stochastic simulatorsInternational Journal for Uncertainty Quantification (IJUQ), 2022
X. Zhu
Bruno Sudret
386
30
0
07 Feb 2022
Reweighting samples under covariate shift using a Wasserstein distance
  criterion
Reweighting samples under covariate shift using a Wasserstein distance criterionElectronic Journal of Statistics (EJS), 2020
J. Reygner
A. Touboul
713
2
0
19 Oct 2020
Non-intrusive and semi-intrusive uncertainty quantification of a
  multiscale in-stent restenosis model
Non-intrusive and semi-intrusive uncertainty quantification of a multiscale in-stent restenosis modelReliability Engineering & System Safety (RESS), 2020
Dongwei Ye
A. Nikishova
L. Veen
Pavel S. Zun
Alfons G. Hoekstra
370
21
0
01 Sep 2020
Global sensitivity analysis and Wasserstein spaces
Global sensitivity analysis and Wasserstein spaces
J. Fort
T. Klein
A. Lagnoux
189
16
0
24 Jul 2020
Emulation of stochastic simulators using generalized lambda models
Emulation of stochastic simulators using generalized lambda models
Xujia Zhu
Bruno Sudret
386
32
0
02 Jul 2020
1
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