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http://dx.doi.org/10.7465/jkdi.2012.23.4.851

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

Choe, Hyeong-Gu (Division of Applied Mathematics, Hanyang University)
Lim, Joon-Beom (Department of Transportation Engineering, University of Seoul)
Won, Yong-Ho (Division of Applied Mathematics, Hanyang University)
Lee, Soo-Beom (Department of Transportation Engineering, University of Seoul)
Kim, Seong-W. (Division of Applied Mathematics, Hanyang University)
Publication Information
Journal of the Korean Data and Information Science Society / v.23, no.4, 2012 , pp. 851-858 More about this Journal
Abstract
We consider a bivariate Poisson regression model to analyze discrete count data when two dependent variables are present. We estimate the regression coefficients as sociated 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.
Keywords
Accident prediction model; bivariate Poisson distribution; Gibbs sampler; Metropolis-Hastings algorithm; safety countermeasure;
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