2017
DOI: 10.1017/apr.2017.33
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Uniform tail approximation of homogenous functionals of Gaussian fields

Abstract: Let X(t), t ∈ R d be a centered Gaussian random field with continuous trajectories and set ξ u (t) = X(f (u)t), t ∈ R d with f some positive function. Classical results establish the tail asymptotics of P {Γ(ξ u ) > u}, T > 0 by requiring that f (u) tends to 0 as u → ∞ with speed controlled by the local behaviour of the correlation function of X. Recent research shows that for applications more general functionals than supremum should be considered and the Gaussian field can depend also on some additional para… Show more

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Cited by 30 publications
(35 citation statements)
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References 29 publications
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“…The case x = 0, η = 0 is shown in [38]. Since the case x = 0, η > 0 can be established by arguments similar to the presented above, we omit the details.…”
Section: Appendixmentioning
confidence: 97%
See 1 more Smart Citation
“…The case x = 0, η = 0 is shown in [38]. Since the case x = 0, η > 0 can be established by arguments similar to the presented above, we omit the details.…”
Section: Appendixmentioning
confidence: 97%
“…We present below an extension of Theorem 2.1 in [38]. Hereafter, C i , i ∈ N are positive constants which might be different from line to line.…”
Section: Appendixmentioning
confidence: 99%
“…Assumptions (11) and (13) are satisfied for large classes of Gaussian processes, see e.g., [17], [18], [19] and [20]. For example, they are compatible with those in Theorem 3.2 in [21].…”
Section: Resultsmentioning
confidence: 92%
“…The key to the methodology developed in this contribution is what we refer to as the uniform Pickands-Piterbarg lemma, see Lemma 4.7 below. We briefly explain the main ideas underlying the approach taken in this paper pointing out some subtle issues related to uniform approximations that appear to have been overlooked in the literature; [25] takes particular care of those issues in the one-dimensional setting.…”
Section: Introductionmentioning
confidence: 99%