State estimations for the Markov process driven by a point process (Q800030)

The problem of nonlinear filtering of Markov processes with point process observations by the innovations method is considered. The author proves that a stochastic equation for the ''quasi-filtering'' estimation, in some sense, is equivalent to that of Kunita's type filtering equation with point process innovations. The existence and uniqueness problem for the quasi-filtering equation is investigated.