Numerical computation of the Rosenblatt distribution and applications

Leonenko, Mykola ORCID: https://orcid.org/0000-0003-1932-4091 and Pepelyshev, Andrey ORCID: https://orcid.org/0000-0001-5634-5559 2025. Numerical computation of the Rosenblatt distribution and applications. Stat Item availability restricted.

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Abstract

The Rosenblatt distribution plays a key role in the limit theorems for non-linear functionals of stationary Gaussian processes with long-range dependence. We derive new expressions for the characteristic function of the Rosenblatt distribution. Also we present a novel accurate approximation of all eigenvalues of the Riesz integral operator associated with the correlation function of the Gaussian process and propose an efficient algorithm for computation of the density of the Rosenblatt distribution. We perform Monte-Carlo simulation for small sample sizes to demonstrate the appearance of the Rosenblatt distribution for several functionals of stationary Gaussian processes with long-range dependence.

Item Type:	Article
Status:	In Press
Schools:	Schools > Mathematics
Publisher:	Wiley
ISSN:	2049-1573
Date of First Compliant Deposit:	22 September 2025
Date of Acceptance:	22 September 2025
Last Modified:	23 Sep 2025 11:01
URI:	https://orca.cardiff.ac.uk/id/eprint/181262

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