The expected Euler characteristic approximation to excursion probabilities of Gaussian vector fields

Let {(X(t),Y(s)):t∈T,s∈S} be an R2-valued, centered, unit-variance smooth Gaussian vector field, where T and S are compact rectangles in the Euclidean space. It is shown that, as u→∞, the joint excursion probability P{supt∈TX(t)≥u,sups∈SY(s)≥u} can be approximated by E{χ(Au)}, the expected Euler characteristic of the excursion set Au={(t,s)∈T×S:X(t)≥u,Y(s)≥u}, such that the error is super-exponentially small. This verifies the expected Euler characteristic heuristic (cf. Taylor, Takemura and Alder (2005), Alder and Taylor (2007)) for a large class of smooth Gaussian vector fields.

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Publication Details

Journal
The Annals of Applied Probability
Published
2024-12-01
DOI
https://doi.org/10.1214/24-aap2102
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
0.00

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article

The expected Euler characteristic approximation to excursion probabilities of Gaussian vector fields

Dan Cheng, Yimin Xiao
The Annals of Applied Probability
Stochastic processes and financial applications
article

The expected Euler characteristic approximation to excursion probabilities of Gaussian vector fields

Dan Cheng, Yimin Xiao
article en

Abstract

Let {(X(t),Y(s)):t∈T,s∈S} be an R2-valued, centered, unit-variance smooth Gaussian vector field, where T and S are compact rectangles in the Euclidean space. It is shown that, as u→∞, the joint excursion probability P{supt∈TX(t)≥u,sups∈SY(s)≥u} can be approximated by E{χ(Au)}, the expected Euler characteristic of the excursion set Au={(t,s)∈T×S:X(t)≥u,Y(s)≥u}, such that the error is super-exponentially small. This verifies the expected Euler characteristic heuristic (cf. Taylor, Takemura and Alder (2005), Alder and Taylor (2007)) for a large class of smooth Gaussian vector fields.

The Annals of Applied ProbabilityVol. 34(6)
Arizona State University (US), Michigan State University (US)
National Science Foundation
Reduced inequalities
Openalex Percentile: Top 68%
Stochastic processes and financial applications
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