Gaussian Processes with Markovian Covariances
Canadian mathematical bulletin, Tome 17 (1974) no. 3, pp. 413-415
Voir la notice de l'article provenant de la source Cambridge University Press
We show that any Gaussian process can be derived in a simple manner from a Markov process if it has zero mean and covariance identical to the covariance of a real valued function of a temporally homogeneous Markov process.
Mots-clés :
Gaussian process, Gaussian field, Markov process, 6040, 6060
Johnson, Dudley Paul. Gaussian Processes with Markovian Covariances. Canadian mathematical bulletin, Tome 17 (1974) no. 3, pp. 413-415. doi: 10.4153/CMB-1974-078-6
@article{10_4153_CMB_1974_078_6,
author = {Johnson, Dudley Paul},
title = {Gaussian {Processes} with {Markovian} {Covariances}},
journal = {Canadian mathematical bulletin},
pages = {413--415},
year = {1974},
volume = {17},
number = {3},
doi = {10.4153/CMB-1974-078-6},
url = {http://geodesic.mathdoc.fr/articles/10.4153/CMB-1974-078-6/}
}
[1] 1. Doob, J. L., Stochastic Processes, Wiley, New York, 1953. Google Scholar
[2] 2. Ge'fand, I. M. and Vilenkin, N. Ja., Generalized functions. Vol. 4; Some applications of harmonic analysis, Fizmatgiz, Moscow, 1961; English transi., Academic press, New York, 1964. Google Scholar
[3] 3. Loeve, M., Probability Theory, 3rd ed. Van Nostrand, Princeton, New Jersey, 1963. Google Scholar
Cité par Sources :