Estimation methods for a linearly structured covariance matrix

cris.virtual.author-orcid0000-0001-9675-973X
cris.virtualsource.author-orcid1fe9b477-cfe7-4f84-8ce8-623637148ff1
dc.abstract.enCovariance matrices with a linear structure are widely used in multivariate analysis. The choice of the most appropriate covariance structure can be made from a class of possible linear structures. Once we have made the choice, an important question is how we can estimate the covariance matrix for a given covariance structure. This article describes methods used to estimate the structured covariance matrix, and indicates the advantages and disadvantages of the selected methods.
dc.affiliationWydział Rolnictwa, Ogrodnictwa i Biotechnologii
dc.affiliation.instituteKatedra Metod Matematycznych i Statystycznych
dc.contributor.authorMieldzioc, Adam
dc.date.access2025-09-02
dc.date.accessioned2025-09-02T09:04:44Z
dc.date.available2025-09-02T09:04:44Z
dc.date.copyright2023-12-29
dc.date.issued2023
dc.description.abstract<jats:title>Summary</jats:title> <jats:p>Covariance matrices with a linear structure are widely used in multivariate analysis. The choice of the most appropriate covariance structure can be made from a class of possible linear structures. Once we have made the choice, an important question is how we can estimate the covariance matrix for a given covariance structure. This article describes methods used to estimate the structured covariance matrix, and indicates the advantages and disadvantages of the selected methods.</jats:p>
dc.description.accesstimeat_publication
dc.description.bibliographybibliogr.
dc.description.financepublication_nocost
dc.description.financecost0,00
dc.description.number2
dc.description.points20
dc.description.versionfinal_published
dc.description.volume60
dc.identifier.doi10.2478/bile-2023-0016
dc.identifier.issn1896-3811
dc.identifier.urihttps://sciencerep.up.poznan.pl/handle/item/4578
dc.identifier.weblinkhttps://sciendo.com/pl/article/10.2478/bile-2023-0016
dc.languageen
dc.pbn.affiliationagriculture and horticulture
dc.relation.ispartofBiometrical Letters
dc.relation.pages217-223
dc.rightsCC-BY-NC-ND
dc.sciencecloudsend
dc.share.typeOPEN_JOURNAL
dc.subject.encovariance structure
dc.subject.enestimation
dc.subject.enshrinkage method
dc.titleEstimation methods for a linearly structured covariance matrix
dc.typeJournalArticle
dspace.entity.typePublication
oaire.citation.issue2
oaire.citation.volume60