Journal of the Korean Data and Information Science Society

The Korean Data and Information Science Society (한국데이터정보과학회)
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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)
  • Received : 2012.06.20
  • Accepted : 2012.07.23
  • Published : 2012.07.31

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.

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Acknowledgement

Supported by : National Research Foundation of Korea (NRF)

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