The recursive fitting of autoregressions

Abstract

SUMMARY An algorithm for the recursive fitting of autoregressions of successively higher order is refined and extended. The quantities ocourring in the iterations of the algorithm are characterized as parameters of a moving average type representation which has a characterization precisely converse to that of the ordinary moving average representation usually associated with a stationary time series. An empirical example illustrates the use of the algorithm.