2005
DOI: 10.1016/j.spa.2004.09.005
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Extremes of Gaussian processes over an infinite horizon

Abstract: Consider a centered separable Gaussian process Y with a variance function that is regularly varying at infinity with index 2H 2 ð0; 2Þ: Let f be a 'drift' function that is strictly increasing, regularly varying at infinity with index b4H; and vanishing at the origin. Motivated by queueing and risk models, we investigate the asymptotics for u ! 1 of the probability Pðsup tX0 Y t À fðtÞ4uÞ as u ! 1: To obtain the asymptotics, we tailor the celebrated double sum method to our general framework. Two different fami… Show more

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Cited by 87 publications
(121 citation statements)
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“…Norros (2004). In particular, in the seminal paper by Hüsler and Piterbarg (1999) the exact asymptotics of one dimensional marginal distributions of Q B H was derived; see also Dieker (2005), Dębicki (2002), and Dębicki and Liu (2016) for results on more general Gaussian input processes. The purpose of this paper is to investigate the asymptotic 0-1 behavior of the processes Q B H .…”
Section: Q B H (T) = Sup −∞mentioning
confidence: 99%
“…Norros (2004). In particular, in the seminal paper by Hüsler and Piterbarg (1999) the exact asymptotics of one dimensional marginal distributions of Q B H was derived; see also Dieker (2005), Dębicki (2002), and Dębicki and Liu (2016) for results on more general Gaussian input processes. The purpose of this paper is to investigate the asymptotic 0-1 behavior of the processes Q B H .…”
Section: Q B H (T) = Sup −∞mentioning
confidence: 99%
“…[6,11] , whereas exact asymptotics can be found in, e.g., Refs. [10,22] , and the many-sources regime logarithmic asymptotics are in Refs. [1,4] and the exact asymptotics in Ref.…”
Section: Introductionmentioning
confidence: 99%
“…Over the past decade, the asymptotic behavior of P(Q > u), as u → ∞, was an important research theme, both for FBM and IG driven queues; see [3,10,13,14]. The structural form of these asymptotics is known now, and captured by the following general formula:…”
Section: Estimates and Simulation Of The Asymptotic Constantmentioning
confidence: 99%
“…We note that, for models with {X(t) : t ∈ R} having a regularly varying variance function at ∞ with α ∞ > 1, the asymptotic constant C reduces to the classical Pickands constant H B H with H = α ∞ /2; see [10,13].…”
Section: Estimates and Simulation Of The Asymptotic Constantmentioning
confidence: 99%