arXiv Analytics

Sign in

arXiv:1303.2452 [math.PR]AbstractReferencesReviewsResources

Max-stable processes and the functional D-norm revisited

Stefan Aulbach, Michael Falk, Martin Hofmann, Maximilian Zott

Published 2013-03-11, updated 2014-12-11Version 4

Aulbach et al. (2013) introduced a max-domain of attraction approach for extreme value theory in C[0,1] based on functional distribution functions, which is more general than the approach based on weak convergence in de Haan and Lin (2001). We characterize this new approach by decomposing a process into its univariate margins and its copula process. In particular, those processes with a polynomial rate of convergence towards a max-stable process are considered. Furthermore we investigate the concept of differentiability in distribution of a max-stable processes.

Related articles: Most relevant | Search more
arXiv:1107.5136 [math.PR] (Published 2011-07-26, updated 2011-10-17)
On Max-Stable Processes and the Functional D-Norm
arXiv:2203.16631 [math.PR] (Published 2022-03-30)
Extreme value theory for a sequence of supremum of a class of Gaussian processes with trend
arXiv:0903.3594 [math.PR] (Published 2009-03-20, updated 2009-09-18)
On the Structure and Representations of Max--Stable Processes