Optimal smoother for discrete time point processes with finite-state Markov rate (Corresp.)

A closed-form optimal nonlinear smoothing algorithm is derived for estimation of signal that is indirectly observed through a discrete time point process (DTPP). A finite-state Markov signal influences the rate of the point process. The smoothers obtained are simple, recursive, and finite dimensional. An illustrative example of the derived estimation scheme is presented.