Gauss-Markov processes as space-time scaled stationary Ornstein-Uhlenbeck processes
Probability
2019-01-28 v3
Abstract
We present a class of Gauss-Markov processes which can be represented as space-time scaled stationary Ornstein-Uhlenbeck processes defined on the real line. We give several explicit examples of the representation for certain Gauss bridge processes. As an application, we derive a formula for the density function of the supremum location of certain standardized Gauss-Markov processes on compact time intervals. We also present some sufficient conditions under which mean centered Gauss-Markov processes take zero at a fixed time with probability one.
Keywords
Cite
@article{arxiv.1409.7253,
title = {Gauss-Markov processes as space-time scaled stationary Ornstein-Uhlenbeck processes},
author = {Matyas Barczy and Peter Kern},
journal= {arXiv preprint arXiv:1409.7253},
year = {2019}
}
Comments
27 pages