Bayesian structural identification using Gaussian process discrepancy models

DOI10.1016/j.cma.2023.116357arXiv2211.00204OpenAlexW4386534913MaRDI QIDQ6194153

Lambros S. Katafygiotis, Costas Papadimitriou, Antonina M. Kosikova, Omid Sedehi

Publication date: 14 February 2024

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2211.00204

zbMATH Keywords

model updatingGaussian process modelsBayesian approachresponse predictionskernel covariance functionsprediction error correlation

Mathematics Subject Classification ID

Statistics (62-XX) Biology and other natural sciences (92-XX)

Cites Work

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