Let {ξ(t)}t∈[0,h] be a stationary Gaussian process with covariance function r such that r(t) = 1 − C |t|α + o(|t|α) as t → 0. We give a new and direct proof of a result originally obtained by Pickands, on the asymptotic behaviour as u→ ∞ of the probability P{supt∈[0,h] ξ(t)> u} that the process ξ exceeds the level u. As a by-product, we obtain a new expression for Pickands constant Hα. 1 Introduction and main result Let {ξ(t)}t∈[0,h] be a continuous centered stationary Gaussian process with covariance function r(t) = Cov{ξ(s),ξ(s+ t)} that satisfies r(t)< 1 for t ∈ (0, h] and r(t) = 1 − C |t|α + o(|t|α) as t → 0, (1) where h> 0, α ∈ (0,2] and C> 0 are constants. Note that (1) includes, for example, cov- arianc
Abstract. This paper gives a new representation of Pickands ’ constants, which arise in the study of...
AbstractLet ξ(t) be a standard stationary Gaussian process with covariance function r(t), and η(t), ...
Let {X-i(t), t >= 0}, 1 <= i <= n be independent centered stationary Gaussian processes wit...
Let {xi(t)}(t is an element of[0,h]) be a stationary Gaussian process with covariance function r suc...
AbstractPickands constants play an important role in the exact asymptotic of extreme values for Gaus...
Pickands constants play an important role in the exact asymptotic of extreme values for Gaussian sto...
AbstractWe study the exact asymptotics of P(supt∈[0,S]X(t)>u), as u→∞, for centered Gaussian process...
Pickands constants play an important role in the exact asymptotic of extreme values for Gaussian sto...
We consider a Gaussian stationary process with Pickands' conditions and evaluate an exact asymptotic...
Pickands constants play a crucial role in the asymptotic theory of Gaussian processes. They are comm...
For a given centered Gaussian process with stationary increments X(t),t ≥ 0 and c > 0, let Wγ(t) = X...
We study the exact asymptotics of , as u-->[infinity], where and {Z(t):t>=0} is a centered stationar...
AbstractWe study the exact asymptotics of P(supt≥0IZ(t)>u), as u→∞, where IZ(t)={1t∫0tZ(s)dsfort>0Z(...
Consider a centered separable Gaussian process $Y$ with a variance function that is regularly varyin...
Let {Xi (t), t ≥ 0}, 1 ≤ i ≤ n be mutually independent centered Gaussian processes with almost surel...
Abstract. This paper gives a new representation of Pickands ’ constants, which arise in the study of...
AbstractLet ξ(t) be a standard stationary Gaussian process with covariance function r(t), and η(t), ...
Let {X-i(t), t >= 0}, 1 <= i <= n be independent centered stationary Gaussian processes wit...
Let {xi(t)}(t is an element of[0,h]) be a stationary Gaussian process with covariance function r suc...
AbstractPickands constants play an important role in the exact asymptotic of extreme values for Gaus...
Pickands constants play an important role in the exact asymptotic of extreme values for Gaussian sto...
AbstractWe study the exact asymptotics of P(supt∈[0,S]X(t)>u), as u→∞, for centered Gaussian process...
Pickands constants play an important role in the exact asymptotic of extreme values for Gaussian sto...
We consider a Gaussian stationary process with Pickands' conditions and evaluate an exact asymptotic...
Pickands constants play a crucial role in the asymptotic theory of Gaussian processes. They are comm...
For a given centered Gaussian process with stationary increments X(t),t ≥ 0 and c > 0, let Wγ(t) = X...
We study the exact asymptotics of , as u-->[infinity], where and {Z(t):t>=0} is a centered stationar...
AbstractWe study the exact asymptotics of P(supt≥0IZ(t)>u), as u→∞, where IZ(t)={1t∫0tZ(s)dsfort>0Z(...
Consider a centered separable Gaussian process $Y$ with a variance function that is regularly varyin...
Let {Xi (t), t ≥ 0}, 1 ≤ i ≤ n be mutually independent centered Gaussian processes with almost surel...
Abstract. This paper gives a new representation of Pickands ’ constants, which arise in the study of...
AbstractLet ξ(t) be a standard stationary Gaussian process with covariance function r(t), and η(t), ...
Let {X-i(t), t >= 0}, 1 <= i <= n be independent centered stationary Gaussian processes wit...