Markov process representations of general stochastic processes
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- by Dudley Paul Johnson
- Proc. Amer. Math. Soc. 24 (1970), 735-738
- DOI: https://doi.org/10.1090/S0002-9939-1970-0261690-0
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Abstract:
In this paper we show that any separable stochastic process on a compact metric space can be derived from a temporally homogeneous Markov process on the extreme points of a compact convex set of measures.References
- Nelson Dunford and Jacob T. Schwartz, Linear Operators. I. General Theory, Pure and Applied Mathematics, Vol. 7, Interscience Publishers, Inc., New York; Interscience Publishers Ltd., London, 1958. With the assistance of W. G. Bade and R. G. Bartle. MR 0117523
- Paul-A. Meyer, Probability and potentials, Blaisdell Publishing Co. [Ginn and Co.], Waltham, Mass.-Toronto, Ont.-London, 1966. MR 0205288
Bibliographic Information
- © Copyright 1970 American Mathematical Society
- Journal: Proc. Amer. Math. Soc. 24 (1970), 735-738
- MSC: Primary 60.62
- DOI: https://doi.org/10.1090/S0002-9939-1970-0261690-0
- MathSciNet review: 0261690