All Title Author
Keywords Abstract

Statistics  2013 

Berman's inequality under random scaling

Full-Text   Cite this paper   Add to My Lib


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.


comments powered by Disqus