Time-changed extremal process as a random sup measure
Abstract
A functional limit theorem for the partial maxima of a long memory stable sequence produces a limiting process that can be described as a -power time change in the classical Fr\'echet extremal process, for in a subinterval of the unit interval. Any such power time change in the extremal process for produces a process with stationary max-increments. This deceptively simple time change hides the much more delicate structure of the resulting process as a self-affine random sup measure. We uncover this structure and show that in a certain range of the parameters this random measure arises as a limit of the partial maxima of the same long memory stable sequence, but in a different space. These results open a way to construct a whole new class of self-similar Fr\'echet processes with stationary max-increments.
Cite
@article{arxiv.1410.2491,
title = {Time-changed extremal process as a random sup measure},
author = {Céline Lacaux and Gennady Samorodnitsky},
journal= {arXiv preprint arXiv:1410.2491},
year = {2016}
}
Comments
Published at http://dx.doi.org/10.3150/15-BEJ717 in the Bernoulli (http://isi.cbs.nl/bernoulli/) by the International Statistical Institute/Bernoulli Society (http://isi.cbs.nl/BS/bshome.htm)