(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 …

better suited to interpretation of results using both Bayesian and maximum likelihood methods and to expression of a … substantive prior distribution using Bayesian methods. The paper demonstrates how to approach both problems using the sequentially … adaptive Bayesian learning algorithm and sequentially adaptive Bayesian learning algorithm (SABL) software, which eliminates …

. A simulation-based Bayesian procedure is introduced for predicting stable stock price ratios, defined in a cointegration …

Bayesian treed Gaussian process (BTGP) models to handle non-linear, time-varying relationships between these fundamentals and …

. This paper applies a Bayesian beta mixture model to derive a combined and calibrated density function using random … logarithmic pooling in the Bayesian combination approach. The three combination schemes, i.e., linear, harmonic and logarithmic …