Extremes and limit theorems for difference of chi-type processes â-

Patrik Albin, Enkelejd Hashorva, Lanpeng Ji, Chengxiu Ling

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8 Citations (Scopus)

Abstract

Let {m,k(k)(t),t≥ 0},κ > 0 be random processes defined as the differences of two independent stationary chi-type processes with m and k degrees of freedom. In this paper we derive the asymptotics of P supt [0,T[ m,k(k)(t) > u →∞, u→∞ under some assumptions on the covariance structures of the underlying Gaussian processes. Further, we establish a Berman sojourn limit theorem and a Gumbel limit result.

Original languageEnglish
Pages (from-to)349-366
Number of pages18
JournalESAIM - Probability and Statistics
Volume20
DOIs
Publication statusPublished - 2016
Externally publishedYes

Keywords

  • Berman sojourn limit theorem
  • Berman's condition
  • Extremes
  • Gumbel limit theorem
  • Stationary Gaussian process
  • Stationary chi-type process

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