Bayesian Structural Identification using Gaussian Process Discrepancy Models

Bayesian model updating based on Gaussian Process (GP) models has received attention in recent years, which incorporates kernel-based GPs to provide enhanced fidelity response predictions. Although most kernel functions provide high fitting accuracy in the training data set, their out-of-sample pred...

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Veröffentlicht in:	arXiv.org 2022-11
Hauptverfasser:	Kosikova, Antonina M, Sedehi, Omid, Papadimitriou, Costas, Katafygiotis, Lambros S
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Autocorrelation functions Bayesian analysis Covariance Gaussian process Kernel functions Mathematical analysis Model accuracy Model updating Robustness (mathematics) Sampling methods
Online-Zugang:	Volltext
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