On the tails of the distribution of the maximum of a smooth stationary Gaussian process

Jean Marc Azaïs, Jean Marc Bardet, Mario Wschebor

Research output: Contribution to journalArticlepeer-review

Abstract

We study the tails of the distribution of the maximum of a stationary Gaussian process on a bounded interval of the real line. Under regularity conditions including the existence of the spectral moment of order 8, we give an additional term for this asymptotics. This widens the application of an expansion given originally by Piterbarg for a sufficiently small interval.

Original languageEnglish
Pages (from-to)177-184
Number of pages8
JournalESAIM - Probability and Statistics
Volume6
DOIs
Publication statusPublished - 1 Dec 2002
Externally publishedYes

Keywords

  • Stationary Gaussian processes
  • Tail of distribution of the maximum

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