Comparing composite likelihood methods based on pairs for spatial Gaussian random fields
type: Item
instance of: scholarly article
published in: Statistics and Computing
volume: 25
issue: 5
page(s): 877-892
publication date: 2014-03-16T00:00:00Z
publication date: 2016-03-22T00:00:00Z
author: Carlo Gaetan
author: Moreno Bevilacqua
title: Comparing composite likelihood methods based on pairs for spatial Gaussian random fields
zbMATH Open document ID: 1332.62368
full work available at URL: https://arxiv.org/abs/1305.5594
full work available at URL: http://hdl.handle.net/10278/39788
Mathematics Subject Classification ID: 62M40
Mathematics Subject Classification ID: 62H12
Mathematics Subject Classification ID: 62P12
Mathematics Subject Classification ID: 86A32
zbMATH DE Number: 6559414
zbMATH Keywords: covariance estimation
zbMATH Keywords: geostatistics
zbMATH Keywords: large datasets
zbMATH Keywords: tapering
describes a project that uses: CompRandFld
describes a project that uses: spam
describes a project that uses: FRK
MaRDI profile type: Publication
OpenAlex ID: W1969543134
arXiv ID: 1305.5594
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DOI: 10.1007/S11222-014-9460-6
description: scientific article