Nested polynomial trends for the improvement of Gaussian process-based predictors
type: Item
instance of: scholarly article
title: Nested polynomial trends for the improvement of Gaussian process-based predictors
zbMATH Open document ID: 1378.62092
published in: Journal of Computational Physics
publication date: 2018-01-25T00:00:00Z
full work available at URL: publi-2017-JCP-346()389-402-perrin-soize-marque-garnier-preprint.pdf
Mathematics Subject Classification ID: 62M20
Mathematics Subject Classification ID: 60G15
zbMATH DE Number: 6829700
zbMATH Keywords: computer experiment
zbMATH Keywords: Gaussian process
zbMATH Keywords: nested polynomial trend
zbMATH Keywords: Bayesian framework
author: G. Perrin
author: C. Soize
author: Sophie Marque-Pucheu
author: Josselin Garnier
describes a project that uses: BRENT
MaRDI profile type: Publication
OpenAlex ID: W2338398729
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DOI: 10.1016/J.JCP.2017.05.051
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description: scientific article; zbMATH DE number 6829700