A Generalized Polynomial Chaos-Based Method for Efficient Bayesian Calibration of Uncertain Computational Models

DOI10.1080/17415977.2013.823411zbMath1308.62048arXiv1211.0158OpenAlexW2963752845MaRDI QIDQ5244949

Han-Lim Choi, Piyush M. Tagade

Publication date: 1 April 2015

Published in: Inverse Problems in Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1211.0158

zbMATH Keywords

hyper-parametersBayesian inferenceparametric uncertaintyKarhunen-Loeve expansiongeneralized polynomial chaosstructural uncertaintyBayesian framework

Mathematics Subject Classification ID

Gaussian processes (60G15) Bayesian inference (62F15) Probabilistic models, generic numerical methods in probability and statistics (65C20) Orthogonal polynomials and functions of hypergeometric type (Jacobi, Laguerre, Hermite, Askey scheme, etc.) (33C45)

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