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Article: Bayesian semiparametric reproductive dispersion mixed models for non-normal longitudinal data: estimation and case influence analysis

TitleBayesian semiparametric reproductive dispersion mixed models for non-normal longitudinal data: estimation and case influence analysis
Authors
Duan, XFung, TWKTang, N
KeywordsBayesian case deletion diagnostics
Bayesian P-spline
Gibbs sampler
Metropolis–Hastings algorithm
truncated and centred Dirichlet process
Issue Date2017
PublisherTaylor & Francis Group. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/00949655.asp
Citation
Journal of Statistical Computation and Simulation, 2017, v. 87, p. 1925-1939 How to Cite?
DOI: http://dx.doi.org/10.1080/00949655.2017.1298766
Persistent Identifierhttp://hdl.handle.net/10722/259493
ISSN
0094-9655
2023 Impact Factor: 1.1
2023 SCImago Journal Rankings: 0.510
ISI Accession Number ID
WOS:000400922000002

 

DC FieldValueLanguage
dc.contributor.authorDuan, X-
dc.contributor.authorFung, TWK-
dc.contributor.authorTang, N-
dc.date.accessioned2018-09-03T04:08:31Z-
dc.date.available2018-09-03T04:08:31Z-
dc.date.issued2017-
dc.identifier.citationJournal of Statistical Computation and Simulation, 2017, v. 87, p. 1925-1939-
dc.identifier.issn0094-9655-
dc.identifier.urihttp://hdl.handle.net/10722/259493-
dc.languageeng-
dc.publisherTaylor & Francis Group. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/00949655.asp-
dc.relation.ispartofJournal of Statistical Computation and Simulation-
dc.subjectBayesian case deletion diagnostics-
dc.subjectBayesian P-spline-
dc.subjectGibbs sampler-
dc.subjectMetropolis–Hastings algorithm-
dc.subjecttruncated and centred Dirichlet process-
dc.titleBayesian semiparametric reproductive dispersion mixed models for non-normal longitudinal data: estimation and case influence analysis-
dc.typeArticle-
dc.identifier.emailFung, TWK: wingfung@hkucc.hku.hk-
dc.identifier.authorityFung, TWK=rp00696-
dc.identifier.doi10.1080/00949655.2017.1298766-
dc.identifier.scopuseid_2-s2.0-85014616380-
dc.identifier.hkuros288347-
dc.identifier.volume87-
dc.identifier.spage1925-
dc.identifier.epage1939-
dc.identifier.eissn1563-5163-
dc.identifier.isiWOS:000400922000002-
dc.identifier.issnl0094-9655-

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