Predictive model selection criteria for logistic regression

摘要

This paper regards an information criterion for model selection proposed by Vidoni (2003). This criterion, based on a predictive density which improves the estimative one, suitably generalizes the Akaike Information Criterion (Akaike, 1973). The theoretical issues, behind this new criterion, are briefly reviewed and an application concerning variable selection under logistic regression models is presented.