A Bayesian hierarchical framework with a Gaussian copula and generalized extreme value (GEV) marginal distribution is proposed for the description of spatial dependencies in data. This model was applied to summer temperatures over Extremadura Region, southwest Spain, during period 1980–2015, compared noncopula model. The implemented Monte Carlo Markov Chain (MCMC) method that allows model’s par...

basically, medical diagnosis problems are the most effective component of treatment policies. recently, significant advances have been formed in medical diagnosis fields using data mining techniques. data mining or knowledge discovery is searching large databases to discover patterns and evaluate the probability of next occurrences. in this paper, bayesian classifier is used as a non-linear dat...