Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/26551

Full metadata record
DC FieldValueLanguage
dc.contributor.authorFaria, Susana-
dc.contributor.authorSoromenho, Gilda-
dc.date.accessioned2013-12-02T14:51:07Z-
dc.date.available2013-12-02T14:51:07Z-
dc.date.issued2008-08-
dc.identifier.urihttp://hdl.handle.net/1822/26551-
dc.description.abstractIn this work, we propose to compare two algorithms to compute maximum likelihood estimators of the parameters of a mixture Poisson regression models. To estimate these parameters, we may use the EM algorithm in a mixture approach or the CEM algorithm in a classification approach. The comparison of the two procedures was done through a simulation study of the performance of these approaches on simulated data sets in a target number of iterations. Simulation results show that the CEM algorithm is a good alternative to the EM algorithm for fitting Poisson mixture regression models, having the advantage of converging more quickly.por
dc.description.sponsorshipFundação para a Ciência e a Tecnologia (FCT)por
dc.language.isoengpor
dc.publisherSpringerpor
dc.rightsrestrictedAccesspor
dc.subjectMaximum likelihood estimationpor
dc.subjectEM algorithmpor
dc.subjectClassification EM algorithmpor
dc.subjectMixture poisson regression modelspor
dc.subjectSimulation studypor
dc.titleComparison of mixture and classification maximum likelihood approaches in poisson regression modelspor
dc.typeconferencePaper-
dc.peerreviewedyespor
sdum.publicationstatuspublishedpor
oaire.citationConferenceDate24-29 Agosto 2008por
sdum.event.typecongresspor
oaire.citationStartPage69por
oaire.citationEndPage77por
oaire.citationConferencePlacePorto, Portugalpor
oaire.citationTitleInternational Conference on Computational Statistics (COMPSTAT)por
sdum.conferencePublicationInternational Conference on Computational Statistics (COMPSTAT)por
Appears in Collections:CMAT - Artigos em atas de conferências e capítulos de livros com arbitragem / Papers in proceedings of conferences and book chapters with peer review

Files in This Item:
File Description SizeFormat 
artigo15-01.pdf
  Restricted access
Documento Principal207 kBAdobe PDFView/Open

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID