Improved smoother dynamics for discrete time HMM parameter estimation

摘要

In this article we consider HMM parameter estimation in the context of an EM algorithm. The models we study are discrete time Markov chains observed in Gaussian noise. New formulae for up-dating smoothed estimates are given for the models just described. These formulae are computed by exploiting a duality between a forward in time unnormalised probability process and its dual.