Limit theorems for excursion sets of subordinated Gaussian random fields with long-range dependence
Vitalii Makogin, Evgeny Spodarev

TL;DR
This paper investigates the asymptotic distribution of the volume of excursion sets of subordinated Gaussian fields with long-range dependence, using Hermite expansions and multiple Wiener-Itô integrals, covering non-stationary cases.
Contribution
It introduces new limit theorems for excursion set volumes of subordinated Gaussian fields, including non-stationary and anisotropic cases, with explicit distributional characterizations.
Findings
Derived limit distributions involving multiple Wiener-Itô integrals
Applicable to non-stationary and anisotropic Gaussian fields
Illustrated results with concrete examples
Abstract
This paper considers the asymptotic behaviour of volumes of excursion sets of subordinated Gaussian random fields with (possibly) infinite variance. Actually, we consider integral functionals of such fields and obtain their limiting distribution using the Hermite expansion of the integrand. We consider the general non-stationary Gaussian random fields, including stationary and anisotropic special cases. The limiting random variables in our limit theorems have the form of multiple Wiener-It\^{o} integrals. We illustrate most results with corresponding examples.
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Taxonomy
TopicsFinancial Risk and Volatility Modeling · Hydrology and Drought Analysis · Stochastic processes and financial applications
