Abstract:
The article examines the problem of estimating a continuous Markov process for the case in which the observed process depends both on the process being estimated and on a delayed copy of it. Stochastic equations in the a posteriori probabilities are obtained. The case of Gaussian a posteriori probabilities is considered, and equations are given for the estimates and a posteriori variances.