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Gaussian Scale Mixtures

dc.contributor.authorFelgueiras, Miguel Martins
dc.contributor.authorMartins, João Paulo
dc.contributor.authorSantos, Rui Filipe
dc.contributor.editorEuropean Society of Computational Methods in Sciences and Engineering (ESCMSE)
dc.date.accessioned2025-10-20T10:49:32Z
dc.date.available2025-10-20T10:49:32Z
dc.date.issued2017-02
dc.description.abstractIn this paper we present a parsimonious approximation of a Gaussian mixture when its components share a common mean value, i.e. a scale mixture. We show that a shifted and scaled Student’s t -distribution can be approximated to this type of mixture, and use the result to develop a hypothesis test for the equality of the components mean value. A simulation study to check the quality of the approximation is also provided, together with an application to logarithmic daily returns.eng
dc.description.sponsorshipResearch partially funded by FCT, Portugal, through the project Pest-OE/MAT/UI0006/2014
dc.identifier.citationFelgueiras, Miguel & Martins, J.P. & Santos, Rui. (2017). Gaussian scale mixtures. 11. 1-10
dc.identifier.issn1790–8140
dc.identifier.urihttp://hdl.handle.net/10400.8/14321
dc.language.isoeng
dc.peerreviewedyes
dc.publisherEuropean Society of Computational Methods in Sciences and Engineering (ESCMSE)
dc.relationStrategic Project - UI 6 - 2014
dc.relation.hasversionhttps://jnaiam.org/?s=Gaussian+scale+mixtures
dc.rights.uriN/A
dc.subjectGaussian scale mixture
dc.subjectStudent’s t -distribution
dc.subjectLog-returns
dc.subjectSimulation
dc.titleGaussian Scale Mixtureseng
dc.typeresearch article
dspace.entity.typePublication
oaire.awardTitleStrategic Project - UI 6 - 2014
oaire.awardURIhttp://hdl.handle.net/10400.8/13114
oaire.citation.endPage10
oaire.citation.startPage1
oaire.citation.titleJournal of Numerical Analysis, Industrial and Applied Mathematics
oaire.citation.volume11
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameOliveira Martins
person.givenNameJoão Paulo
person.identifier.orcid0000-0002-0474-1397
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