Michael Pauley

Numerical filtering of linear state-space models with Markov switching

A class of discrete-time random processes that have seen a wide variety of applications consists of a linear state-space model whose parameters are modulated by the state of a finite-state Markov chain. A typical way to filter such processes is with collapsing methods, which approximate the underlyi…