Abstract
In this paper, we investigate the representation of a class of non-Gaussian processes, namely generalized grey Brownian motion, in terms of a weighted integral of a stochastic process which is a solution of a certain stochastic differential equation. In particular, the underlying process can be seen as a non-Gaussian extension of the Ornstein–Uhlenbeck process, hence generalizing the representation results of Muravlev, Russian Math. Surveys 66 (2), 2011 as well as Harms and Stefanovits, Stochastic Process. Appl. 129, 2019 to the non-Gaussian case.
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Bock, W., Desmettre, S., & da Silva, J. L. (2020). Integral representation of generalized grey Brownian motion. Stochastics, 92(4), 552–565. https://doi.org/10.1080/17442508.2019.1641093
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