Hidden Markov change point estimation
Robert James Elliott, Sebastian Elliott · Communications on Stochastic Analysis · 2015
A hidden Markov model is considered where the dynamics of the hidden process change at a random 'change point' . In principle this gives rise to a non-linear lter but closed form recursive estimates are obtained for the conditional distribution of the hidden process and of .