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Bayesian analysis for the bivariate Poisson regression model: Applications to road safety countermeasures

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dc.contributor.author최형구-
dc.contributor.author임준범-
dc.contributor.author원용호-
dc.contributor.author이수범-
dc.contributor.author김성욱-
dc.date.accessioned2021-06-23T08:53:24Z-
dc.date.available2021-06-23T08:53:24Z-
dc.date.created2021-01-22-
dc.date.issued2012-07-
dc.identifier.issn1598-9402-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/35066-
dc.description.abstractWe consider a bivariate Poisson regression model to analyze discrete count data when two dependent variables are present. We estimate the regression coefficients associated with several safety countermeasures. We use Markov chain and Monte Carlo techniques to execute some computations. A simulation and real data analysis are performed to demonstrate model fitting performances of the proposed model.-
dc.language영어-
dc.language.isoen-
dc.publisher한국데이터정보과학회-
dc.titleBayesian analysis for the bivariate Poisson regression model: Applications to road safety countermeasures-
dc.typeArticle-
dc.contributor.affiliatedAuthor김성욱-
dc.identifier.doi10.7465/jkdi.2012.23.4.851-
dc.identifier.bibliographicCitation한국데이터정보과학회지, v.23, no.4, pp.851 - 858-
dc.relation.isPartOf한국데이터정보과학회지-
dc.citation.title한국데이터정보과학회지-
dc.citation.volume23-
dc.citation.number4-
dc.citation.startPage851-
dc.citation.endPage858-
dc.type.rimsART-
dc.identifier.kciidART001683121-
dc.description.journalClass2-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorAccident prediction model-
dc.subject.keywordAuthorbivariate Poisson distribution-
dc.subject.keywordAuthorGibbs sampler-
dc.subject.keywordAuthorMetropolis-Hastings algorithm-
dc.subject.keywordAuthorsafety countermeasure-
dc.identifier.urlhttp://koreascience.or.kr/article/JAKO201225067514697.page-
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ERICA 과학기술융합대학 (ERICA 수리데이터사이언스학과)
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