Bayesian inversion using adaptive polynomial chaos kriging within subset simulation

DOI10.1016/j.jcp.2022.110986OpenAlexW4210745650MaRDI QIDQ2133745

J. Baroth, D. Rossat, M. Briffaut, Frédéric Dufour

Publication date: 5 May 2022

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jcp.2022.110986

zbMATH Keywords

kriginginverse problemsBayesian inversionpolynomial chaossubset simulationstructural reliability methods

Mathematics Subject Classification ID

Parametric inference (62Fxx) Stochastic analysis (60Hxx) Probabilistic methods, stochastic differential equations (65Cxx)

Related Items (2)

Efficient Bayesian inference with latent Hamiltonian neural networks in no-U-turn sampling ⋮ Bayesian updating with two-step parallel Bayesian optimization and quadrature

Uses Software

• Qhull
• AK-MCS
• UQLab

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