Deviance Information Criterion
In modern statistics and Bayesian analysis, model selection is a crucial step to ensure that predictive models balance accuracy and complexity. One widely used criterion for evaluating Bayesian models is the Deviance Information Criterion, commonly referred to as DIC. This measure allows researchers to compare different statistical models while accounting for both goodness of fit … Read more