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Asymptotics of supremum distribution of a Gaussian process over a Weibullian time

Abstract

Let {X(t):t[0,)}\{X(t):t\in[0,\infty)\} be a centered Gaussian process with stationary increments and variance function σX2(t)\sigma^2_X(t). We study the exact asymptotics of P(supt[0,T]X(t)>u){\mathbb{P}}(\sup_{t\in[0,T]}X(t)>u) as uu\to\infty, where TT is an independent of {X(t)}\{X(t)\} non-negative Weibullian random variable. As an illustration, we work out the asymptotics of the supremum distribution of fractional Laplace motion.

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