Functional principal component analysis for global sensitivity analysis of model with spatial output-Reference-Cited by-同舟云学术

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Functional principal component analysis for global sensitivity analysis of model with spatial output

Published:2021-07 Issue: Volume:211 Page:107522
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

Perrin T.V.E.^ORCID,Roustant O.,Rohmer J.^ORCID,Alata O.^ORCID,Naulin J.P.,Idier D.^ORCID,Pedreros R.,Moncoulon D.,Tinard P.

Funder

Bureau de Recherches Géologiques et Minières

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality

Reference36 articles.

1. Storm-induced marine flooding: Lessons from a multidisciplinary approach;Chaumillon;Earth-Sci Rev,2017

2. Estimation of insurance related losses resulting from coastal flooding in France;Naulin;Natural Hazards and Earth System Sciences Discussions,2015

3. Gema, La tempête Xynthia du 28 février 2010. Bilan chiffré au 31 décembre 2010;FFSA,2011

4. A review on global sensitivity analysis methods;Iooss,2015

5. Global sensitivity analysis: the primer;Saltelli,2008

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1. Sensitivity analysis for sets: Application to pollutant concentration maps;Quality and Reliability Engineering International;2024-08-21

2. Kernel-based Sensitivity Analysis for (Excursion) Sets;Technometrics;2024-05-13

3. Minimax estimation of functional principal components from noisy discretized functional data;Scandinavian Journal of Statistics;2024-04-23

4. Fast Prediction of Flood Maps Based on Machine Learning Techniques: Application to Marine Flooding at Arcachon Lagoon (Gironde, France);Springer Water;2024

5. A comparison between Sobol’s indices and Shapley’s effect for global sensitivity analysis of systems with independent input variables;Reliability Engineering & System Safety;2023-06

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