Real time analysis and conditionally optimal filtering of processes in nonlinear stochastic systems

The state-of-art in statistical real time analysis and filtering of processes in nonlinear stochastic systems which are described by differential of difference of differential-difference or integro-differential equations and efficient approximate methods of solving their problems are overviewe. Issues in development of the necessary soft are for statistical analysis of such systems and in design of conditionally optimal filters are discussed.