2016
Efficient parameter inference in general hidden Markov models using the filter derivatives
ICASSP 2016accepted
Estimating online the parameters of general state-space hidden Markov models is a topic of importance in many scientific and engineering disciplines. In this paper we present an online parameter estimation algorithm obtained by casting our recently proposed particle-based, rapid incremental smoother…