Optimum prediction with a mean weighted square error criterion

The linear prediction theory is examined using a mean weighted square error criterion. A specific nondeterministic weighting function is used. The problem is reduced to that of solving integral equations which are written in terms of correlation functions which can be calculated by averaging over the ensemble. A complete solution is given for the problem using Gaussian statistics with no correlation between noise and true signal.