Gaussian Predictive Process Models for Large Spatial Data Sets
type: Item
instance of: scholarly article
title: Gaussian Predictive Process Models for Large Spatial Data Sets
author: Sudipto Banerjee
author: Alan E. Gelfand
author: Andrew O. Finley
author: Huiyan Sang
published in: Journal of the Royal Statistical Society Series B: Statistical Methodology
publication date: 2009-06-10T00:00:00Z
full work available at URL: pmc2741335
Mathematics Subject Classification ID: 62-XX
zbMATH DE Number: 5563371
zbMATH Keywords: co-regionalization
zbMATH Keywords: Gaussian processes
zbMATH Keywords: hierarchical modelling
zbMATH Keywords: kriging
zbMATH Keywords: Markov chain Monte Carlo methods
zbMATH Keywords: multivariate spatial processes
zbMATH Keywords: space
zbMATH Keywords: time processes
describes a project that uses: gss
describes a project that uses: fda (R)
describes a project that uses: GMRFLib
describes a project that uses: SemiPar
describes a project that uses: spBayes
MaRDI profile type: Publication
OpenAlex ID: W2004807582
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Wikidata QID: Q33502739
DOI: 10.1111/J.1467-9868.2008.00663.X
description: scientific article