A Note on the Generalized Information Criterion for Choice of a Model
Anthony C. Atkinson · Biometrika · 1980
One way of selecting models is to choose that model for which the maximized log likelihood minus a multiple of the number of parameters estimated is a maximum. This note explores the choice of values for the multiplier, with the value one corresponding to Akaike's information criterion. The relationship with Bayesian procedures is mentioned.