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Article: On sampling from the multivariate t distribution

TitleOn sampling from the multivariate t distribution
Authors
Issue Date2013
Citation
R Journal, 2013, v. 5, n. 2, p. 129-136 How to Cite?
AbstractThe multivariate normal and the multivariate t distributions belong to the most widely used multivariate distributions in statistics, quantitative risk management, and insurance. In contrast to the multivariate normal distribution, the parameterization of the multivariate t distribution does not correspond to its moments. This, paired with a non-standard implementation in the R package mvtnorm, provides traps for working with the multivariate t distribution. In this paper, common traps are clarified and corresponding recent changes to mvtnorm are presented.
Persistent Identifierhttp://hdl.handle.net/10722/325269
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorHofert, Marius-
dc.date.accessioned2023-02-27T07:31:06Z-
dc.date.available2023-02-27T07:31:06Z-
dc.date.issued2013-
dc.identifier.citationR Journal, 2013, v. 5, n. 2, p. 129-136-
dc.identifier.urihttp://hdl.handle.net/10722/325269-
dc.description.abstractThe multivariate normal and the multivariate t distributions belong to the most widely used multivariate distributions in statistics, quantitative risk management, and insurance. In contrast to the multivariate normal distribution, the parameterization of the multivariate t distribution does not correspond to its moments. This, paired with a non-standard implementation in the R package mvtnorm, provides traps for working with the multivariate t distribution. In this paper, common traps are clarified and corresponding recent changes to mvtnorm are presented.-
dc.languageeng-
dc.relation.ispartofR Journal-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleOn sampling from the multivariate t distribution-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.32614/rj-2013-033-
dc.identifier.scopuseid_2-s2.0-84893466430-
dc.identifier.volume5-
dc.identifier.issue2-
dc.identifier.spage129-
dc.identifier.epage136-
dc.identifier.eissn2073-4859-
dc.identifier.isiWOS:000330193300014-

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