Darling-Erdos-type theorems for sums of Gaussian variables with long-range dependence
We obtain extreme value limit distributions of the maximum of standardized partial sums of stationary Gaussian random variables with long-range dependence.
Year of publication: |
1996
|
---|---|
Authors: | Horvàth, Lajos ; Shao, Qi-Man |
Published in: |
Stochastic Processes and their Applications. - Elsevier, ISSN 0304-4149. - Vol. 63.1996, 1, p. 117-137
|
Publisher: |
Elsevier |
Keywords: | Fractional Brownian motion Gaussian random variables Long-range dependence Standardized sums Extreme value distribution |
Saved in:
Saved in favorites
Similar items by person
-
The law of the iterated logarithm for negatively associated random variables
Shao, Qi-Man, (1999)
-
A note on the law of large numbers for directed random walks in random environments
Jorváth, Lajos, (1994)
-
Convergence of integrals of uniform empirical and quantile processes
Csörgo, Miklós, (1993)
- More ...