Berman's inequality under random scaling
Probability
2014-04-24 v2 Statistics Theory
Applications
Statistics Theory
Abstract
Berman's inequality is the key for establishing asymptotic properties of maxima of Gaussian random sequences and supremum of Gaussian random fields. This contribution shows that, asymptotically an extended version of Berman's inequality can be established for randomly scaled Gaussian random vectors. Two applications presented in this paper demonstrate the use of Berman's inequality under random scaling.
Cite
@article{arxiv.1309.6136,
title = {Berman's inequality under random scaling},
author = {Enkelejd Hashorva and Zhichao Weng},
journal= {arXiv preprint arXiv:1309.6136},
year = {2014}
}