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Article: A multiple-imputation Metropolis version of the EM algorithm

TitleA multiple-imputation Metropolis version of the EM algorithm
Authors
KeywordsIncomplete data
Mixed model
Multiple imputation
Simulated annealing
Stochastic EM
Issue Date2003
PublisherOxford University Press. The Journal's web site is located at http://biomet.oxfordjournals.org/
Citation
Biometrika, 2003, v. 90 n. 3, p. 643-654 How to Cite?
AbstractIn this paper we introduce a new stochastic variant of the EM algorithm. The algorithm combines the principle of multiple imputation and the theory of simulated annealing to deal with cases where the E-step and the M-step can be intractable or numerically inefficient.
Persistent Identifierhttp://hdl.handle.net/10722/132628
ISSN
2015 Impact Factor: 1.13
2015 SCImago Journal Rankings: 2.801
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorGaetan, Cen_HK
dc.contributor.authorYao, JFen_HK
dc.date.accessioned2011-03-28T09:27:06Z-
dc.date.available2011-03-28T09:27:06Z-
dc.date.issued2003en_HK
dc.identifier.citationBiometrika, 2003, v. 90 n. 3, p. 643-654en_HK
dc.identifier.issn0006-3444en_HK
dc.identifier.urihttp://hdl.handle.net/10722/132628-
dc.description.abstractIn this paper we introduce a new stochastic variant of the EM algorithm. The algorithm combines the principle of multiple imputation and the theory of simulated annealing to deal with cases where the E-step and the M-step can be intractable or numerically inefficient.en_HK
dc.languageengen_US
dc.publisherOxford University Press. The Journal's web site is located at http://biomet.oxfordjournals.org/en_HK
dc.relation.ispartofBiometrikaen_HK
dc.subjectIncomplete dataen_HK
dc.subjectMixed modelen_HK
dc.subjectMultiple imputationen_HK
dc.subjectSimulated annealingen_HK
dc.subjectStochastic EMen_HK
dc.titleA multiple-imputation Metropolis version of the EM algorithmen_HK
dc.typeArticleen_HK
dc.identifier.emailYao, JF: jeffyao@hku.hken_HK
dc.identifier.authorityYao, JF=rp01473en_HK
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1093/biomet/90.3.643en_HK
dc.identifier.scopuseid_2-s2.0-3843106737en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-3843106737&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume90en_HK
dc.identifier.issue3en_HK
dc.identifier.spage643en_HK
dc.identifier.epage654en_HK
dc.identifier.isiWOS:000185456800011-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridGaetan, C=6506101555en_HK
dc.identifier.scopusauthoridYao, JF=7403503451en_HK

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