Work

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

Year: 2012

Type: article

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.

Source: Journal of the Korean Data and Information Science Society

DOI: 10.7465/jkdi.2012.23.4.851

Authors: Hyeong-Gu Choe, Joon-Beom Lim, Yong-Ho Won, Soo-Beom Lee, Seong-W. Kim

Institutions: Hanyang University, University of Seoul

Language: English

Topic: Statistical Methods and Bayesian Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: bronze

Funders: National Research Foundation, National Research Foundation of Korea

OpenAlex ID: W2012149145