English

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}
}

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27 pages