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.