On the use of sparse Bayesian learning-based polynomial chaos expansion for global reliability sensitivity analysis

DOI10.1016/j.cam.2022.114819OpenAlexW4294663375MaRDI QIDQ2087515

Biswarup Bhattacharyya

Publication date: 21 October 2022

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2022.114819

zbMATH Keywords

Bayesian inferencesurrogate modelpolynomial chaos expansionreliability sensitivity analysis

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Bayesian inference (62F15) Monte Carlo methods (65C05) Numerical solutions to stochastic differential and integral equations (65C30) Sequential statistical design (62L05)

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