A Chandrasekhar type square root smoother for the Bayesian decomposition of a time series

Abstract

In this note a Chandrasekhar square root information two filter smoother is presented, with application to time series decomposition. It is shown that it yields a computational gain over the usual smoothing formulas based on the Riccati equation, while having the same storage requirement.