A sufficient condition for consistent discrimination between stationary Gaussian models

The uniqueness of the prediction error covariance matrix is shown to be sufficient for a consistent selection among a finite set of stationary Gaussian models, employing the maximum-likelihood criterion. The new consistency condition is considerably easier to verify than previously suggested conditions.