Some results on the gaussian markov random field construction problem based on the use of invariant subgraphs

Baz González, Juan; Díaz Fernández, Irene; Montes Rodríguez, Susana; Pérez Fernández, Raúl

doi:10.1007/s11749-022-00804-3

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Some results on the gaussian markov random field construction problem based on the use of invariant subgraphs

dc.contributor.author	Baz González, Juan
dc.contributor.author	Díaz Fernández, Irene
dc.contributor.author	Montes Rodríguez, Susana
dc.contributor.author	Pérez Fernández, Raúl
dc.date.accessioned	2022-10-25T11:11:19Z
dc.date.available	2022-10-25T11:11:19Z
dc.date.issued	2022
dc.identifier.citation	Test, 31, p. 856-874 (2022); doi:10.1007/s11749-022-00804-3
dc.identifier.issn	1133-0686
dc.identifier.uri	http://hdl.handle.net/10651/65243
dc.description.sponsorship	This research has been partially supported by the Spanish Ministry of Science and Technology (TIN-2017-87600-P and PGC2018-098623-B-I00), the Research Foundation of Flanders (FWO17/PDO/160) and FICYT (FC-GRUPIN-IDI/2018/000176). Raúl Pérez-Fernández acknowledges the support of KERMIT, Department of Data Analysis and Mathematical Modelling, Ghent University, Belgium.
dc.format.extent	p. 856-874
dc.language.iso	eng
dc.relation.ispartof	Test
dc.rights	© The Author(s) 2022
dc.rights	CC Reconocimiento 4.0 Internacional
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125139684&doi=10.1007%2fs11749-022-00804-3&partnerID=40&md5=deaf7c017a69e0e7b2568232ae709d95
dc.title	Some results on the gaussian markov random field construction problem based on the use of invariant subgraphs
dc.type	journal article
dc.identifier.doi	10.1007/s11749-022-00804-3
dc.local.notes	OA ATUO22
dc.relation.projectID	MICIIN/TIN-2017-87600-P
dc.relation.projectID	MICINN/PGC2018-098623-B-I00
dc.relation.projectID	FC-GRUPIN-IDI/2018/000176
dc.relation.publisherversion	http://dx.doi.org/10.1007/s11749-022-00804-3
dc.rights.accessRights	open access
dc.type.hasVersion	VoR

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