English

Time-changed extremal process as a random sup measure

Probability 2016-06-07 v2

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 β\beta-power time change in the classical Fr\'echet extremal process, for β\beta in a subinterval of the unit interval. Any such power time change in the extremal process for 0<β<10<\beta<1 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.

Keywords

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)

R2 v1 2026-06-22T06:18:13.808Z