Modified AIC rule for model selection in combination with prior estimated noise models (Q1614314)

The authors discuss the use of the AIC model selection rule in combination with prior estimated noise models when model errors are present. When a prior estimated noise model is used as a weighting in the cost function, it is shown that a multiplicative model complexity penalty term is needed. The connexion of this result with the classical prediction error framework is examined.