Excursion Probabilities of Isotropic and Locally Isotropic Gaussian Random Fields on Manifolds

preprint2015arXivOpen access

Abstract

Let X={X(p),p∈M}X= \{X(p), p\in M\} be a centered Gaussian random field, where MM is a smooth Riemannian manifold. For a suitable compact subset D⊂MD\subset M, we obtain the approximations to excursion probability P{sup⁡p∈DX(p)≥u}\mathbb{P}\{\sup_{p\in D} X(p) \ge u \}, as u→∞u\to \infty, for two cases: (i) XX is smooth and isotropic; (ii) XX is non-smooth and locally isotropic. For case (i), the expected Euler characteristic approximation is formulated explicitly; while for case (ii), it is shown that the asymptotics is similar to Pickands' approximation on Euclidean space which involves Pickands' constant and the volume of DD. These extend the results in \citep{Cheng:2014} from sphere to general Riemannian manifolds.

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