In this paper, we develop a general method for heterogeneous variable selection in Bayesian nonlinear panel data models … models, exponential models, among many others. For inference, we develop an efficient Bayesian MCMC sampler. In a Monte Carlo …

(GLMs) with gamma-distributed responses estimated using the Bayesian approach coupled with the Markov Chain Monte Carlo … the Bayesian-MCMC method is carried out using the Gibbs sampler algorithm. The performance of proposed model is conducted … for the observed data. The predictive accuracy of this model is compared with other Bayesian models using the widely …

variation, whereas the ARDL fits well and explains 82.9% of the variation. Utilizing Bayesian analysis with ABC-MCMC provides …

There has been a call for caution when using the conventional method for Bayesian inference in setidentified structural …

students' travel mode choices. We have proposed two Bayesian models - a basic model and a spatial model - with structured and …