(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 …

In this paper we consider regression models for count data allowing for overdispersion in a Bayesian framework. We …

. We propose a general class of Bayesian generalized additive models for zero-inflated and overdispersed count data within … smoothness priors. We develop Bayesian inference based on Markov chain Monte Carlo simulation techniques where suitable proposal …