Filtering of jump processes

The problems of the optimal nonlinear filtration of jump processes are considered. The essential fact is that the process observed is also a jump process. The formulae for the a posteriori probabilities of the investigated process are derived. The methods elaborated in the article may be considered to be the generalization of the methods of the theory of conditional Markovian processes, the mehods worked out for the observed processes with continuous trajectories.