Order Selection for Non-Stationary AR Models by Predictive Least-Squares
Mohamed L. Hambaba · 1989
We present a new criterion for selecting the order of a non-stationary AR model. It is based on the predictive least-squares principles and is implemented in a computational efficient way by predictive lattice filters. We prove the consistency of the criterion.