Multi-fidelity Gaussian process regression for prediction of random fields
type: Item
instance of: scholarly article
title: Multi-fidelity Gaussian process regression for prediction of random fields
zbMATH Open document ID: 1419.62272
author: D. Venturi
author: Paris Perdikaris
author: George Em Karniadakis
author: Lucia Parussini
published in: Journal of Computational Physics
publication date: 2017-12-14T00:00:00Z
full work available at URL: http://hdl.handle.net/11368/2903585
Mathematics Subject Classification ID: 62M40
Mathematics Subject Classification ID: 60G15
Mathematics Subject Classification ID: 60G25
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 65C30
zbMATH DE Number: 6818755
zbMATH Keywords: Gaussian random fields
zbMATH Keywords: multi-fidelity modeling
zbMATH Keywords: recursive co-kriging
zbMATH Keywords: uncertainty quantification
MaRDI profile type: Publication
OpenAlex ID: W2586140425
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DOI: 10.1016/J.JCP.2017.01.047
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description: scientific article; zbMATH DE number 6818755