A flexible approach to inference in semiparametric regression models with correlated errors using Gaussian processes
type: Item
instance of: scholarly article
title: A flexible approach to inference in semiparametric regression models with correlated errors using Gaussian processes
zbMATH Open document ID: 1466.62093
author: Heping He
author: Thomas Severini
published in: Computational Statistics and Data Analysis
publication date: 2018-08-15T00:00:00Z
Mathematics Subject Classification ID: 62-08
zbMATH DE Number: 6918231
zbMATH Keywords: semiparametric model
zbMATH Keywords: Gaussian process regression
zbMATH Keywords: generalized least squares
zbMATH Keywords: restricted maximum likelihood
describes a project that uses: ElemStatLearn
describes a project that uses: MEMSS
describes a project that uses: PMTK
describes a project that uses: R
describes a project that uses: S-PLUS
describes a project that uses: SemiPar
MaRDI profile type: Publication
full work available at URL: j.csda.2016.05.010
OpenAlex ID: W2409828733
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DOI: 10.1016/J.CSDA.2016.05.010
description: scientific article; zbMATH DE number 6918231