AbstractWe prove a second-order approximation formula for the distribution of the largest term among an infinite moving average Gaussian sequence. The second-order correction term depends on the autocovariance function only through the second largest autocovariance. Applications to Gaussian time series are discussed and a simulation study showed a substantial improvement over other approximations to the exact distribution of the maximum
In this paper, we study the asymptotic distribution of the maxima of suprema of dependent Gaussian p...
With motivation from Hüsler (Extremes 7:179-190, 2004) and Piterbarg (Extremes 7:161-177, 2004) in t...
In this report we study the supremum distribution of a general class of Gaussian processes {Xt : t 2...
We derive the limiting distributions of exceedances point processes of randomly scaled weakly depend...
This paper uses the Rice method [18] to give bounds to the distribution of the maximum of a smooth...
AbstractIn this paper, not only the weak convergence is considered, as in the ASCLT in Theorem 2.3 t...
Limit distributions of maxima of dependent Gaussian sequence are different according to the converge...
Let be independent copies of a stationary process . For given positive constants , define the set of...
AbstractIn this paper we study the asymptotic joint behavior of the maximum and the partial sum of a...
Limit distributions of maxima of dependent Gaussian sequence are different according to the converge...
Let {X (t), t >= 0} be a stationary Gaussian process with zero-mean and unit variance. A deep res...
AbstractLet {Xn} be a stationary Gaussian sequence with E{X0} = 0, {X20} = 1 and E{X0Xn} = rn n Let ...
In this paper we study the asymptotic joint behavior of the maximum and the partial sum of a multiva...
AbstractLet {Xj}j=1∞ be a stationary Gaussian sequence of random vectors with mean zero. We study th...
With motivation from Husler (Extremes 7:179-190, 2004) and Piterbarg (Extremes 7:161-177, 2004) in t...
In this paper, we study the asymptotic distribution of the maxima of suprema of dependent Gaussian p...
With motivation from Hüsler (Extremes 7:179-190, 2004) and Piterbarg (Extremes 7:161-177, 2004) in t...
In this report we study the supremum distribution of a general class of Gaussian processes {Xt : t 2...
We derive the limiting distributions of exceedances point processes of randomly scaled weakly depend...
This paper uses the Rice method [18] to give bounds to the distribution of the maximum of a smooth...
AbstractIn this paper, not only the weak convergence is considered, as in the ASCLT in Theorem 2.3 t...
Limit distributions of maxima of dependent Gaussian sequence are different according to the converge...
Let be independent copies of a stationary process . For given positive constants , define the set of...
AbstractIn this paper we study the asymptotic joint behavior of the maximum and the partial sum of a...
Limit distributions of maxima of dependent Gaussian sequence are different according to the converge...
Let {X (t), t >= 0} be a stationary Gaussian process with zero-mean and unit variance. A deep res...
AbstractLet {Xn} be a stationary Gaussian sequence with E{X0} = 0, {X20} = 1 and E{X0Xn} = rn n Let ...
In this paper we study the asymptotic joint behavior of the maximum and the partial sum of a multiva...
AbstractLet {Xj}j=1∞ be a stationary Gaussian sequence of random vectors with mean zero. We study th...
With motivation from Husler (Extremes 7:179-190, 2004) and Piterbarg (Extremes 7:161-177, 2004) in t...
In this paper, we study the asymptotic distribution of the maxima of suprema of dependent Gaussian p...
With motivation from Hüsler (Extremes 7:179-190, 2004) and Piterbarg (Extremes 7:161-177, 2004) in t...
In this report we study the supremum distribution of a general class of Gaussian processes {Xt : t 2...