An innovations approach to the discrete-time stochastic realization problem

In this paper the authors use results to compute finite state-space or auto-regressive moving average (ARMA) models for finite-dimensional stationary discrete time processes whose covariance is given. The reason for computing such models is that the predictor formulas become finitely recursive.