The asymptotic behaviors for least square estimation of multi-casting autoregressive processes

This paper mainly discusses the asymptotic properties of multi-casting autoregressive processes. By using the mm-dependence of random vectors, we prove that the least squares (LS) estimator of the unknown parameters satisfies the moderate deviation principle. Two examples of regular cases are also presented.