Foundations of the Prediction Process

Introduction The measure - theoretic prediction process Topological considerations and prediction space: application to Markov processes Gaussian processes and the prediction process in the wide sense A classification of measurable processes Prediction of measurable processes Application to concrete examples, and ramifications of the theory Appendix References Index.