(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 …

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

such a purpose, we consider a practical Bayesian framework for the calibration and validation of a computer code used to … cell in a given period of time. Finally, Bayesian decision-making methods are used to choose the optimal fixed rate (for … significant contributions of the paper. First of all, the case study data were never analyzed from a Bayesian viewpoint, which is …

estimation procedure of the Heston model without and with jumps in the asset prices is presented. Bayesian regression combined …

This paper proposes the use of Bayesian inference techniques to search for and obtain valid instruments in dynamic …