2020/96/1-2 (3)
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DOI: 10.5486/PMD.2020.8443
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pp. 23-44
Hermite Ornstein—Uhlenbeck processes mixed with a Gamma distribution
Abstract:
We construct a long-memory non-Gaussian stochastic process by aggregation, as limit of the empirical mean of identically distributed copies of Ornstein—Uhlenbeck processes with Hermite noise and random coefficients. We also study the asymptotic behavior of the process with respect to its parameter.
Keywords: Hermite processes, Gamma-distribution, long-range dependence, Langevin equation, fractional Brownian motion, Ornstein-Uhlenbeck process
Mathematics Subject Classification: 60F05, 60G15, 60H05, 60H07, 60F12
