JUMP PROCESSES UNDER PARTIAL OBSERVATIONS: FINITE STATE APPROXIMATION

A filtering problem when the pair state-observations is a Markov process is analyzed. Extending a Kunita result to our frame, strong uniqueness for the filtering equation is obtained. In the discrete case, a finite state approximation for the filter is considered and an estimate of the approximation error is given.