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February 2016 Integral representation of random variables with respect to Gaussian processes
Lauri Viitasaari
Bernoulli 22(1): 376-395 (February 2016). DOI: 10.3150/14-BEJ662

Abstract

It was shown in Mishura et al. (Stochastic Process. Appl. 123 (2013) 2353–2369), that any random variable can be represented as improper pathwise integral with respect to fractional Brownian motion. In this paper, we extend this result to cover a wide class of Gaussian processes. In particular, we consider a wide class of processes that are Hölder continuous of order $\alpha>1/2$ and show that only local properties of the covariance function play role for such results.

Citation

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Lauri Viitasaari. "Integral representation of random variables with respect to Gaussian processes." Bernoulli 22 (1) 376 - 395, February 2016. https://doi.org/10.3150/14-BEJ662

Information

Received: 1 March 2014; Revised: 1 June 2014; Published: February 2016
First available in Project Euclid: 30 September 2015

zbMATH: 1359.60070
MathSciNet: MR3449787
Digital Object Identifier: 10.3150/14-BEJ662

Keywords: Föllmer integral , Gaussian processes , generalised Lebesgue–Stieltjes integral , integral representation

Rights: Copyright © 2016 Bernoulli Society for Mathematical Statistics and Probability

Vol.22 • No. 1 • February 2016
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