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

Authors
최형구임준범원용호이수범김성욱
Issue Date
Jul-2012
Publisher
한국데이터정보과학회
Keywords
Accident prediction model; bivariate Poisson distribution; Gibbs sampler; Metropolis-Hastings algorithm; safety countermeasure
Citation
한국데이터정보과학회지, v.23, no.4, pp.851 - 858
Indexed
KCI
Journal Title
한국데이터정보과학회지
Volume
23
Number
4
Start Page
851
End Page
858
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/35066
DOI
10.7465/jkdi.2012.23.4.851
ISSN
1598-9402
Abstract
We 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.
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COLLEGE OF SCIENCE AND CONVERGENCE TECHNOLOGY > ERICA 수리데이터사이언스학과 > 1. Journal Articles

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Kim, Seong Wook
ERICA 과학기술융합대학 (ERICA 수리데이터사이언스학과)
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