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PERSISTENCE OF GAUSSIAN STATIONARY PROCESSES: A SPECTRAL PERSPECTIVE

Research output: Contribution to journalArticlepeer-review

Abstract

We study the persistence probability of a centered stationary Gaussian process on Z or R, that is, its probability to remain positive for a long time. We describe the delicate interplay between this probability and the behavior of the spectral measure of the process near zero and infinity.

Original languageEnglish
Pages (from-to)1067-1096
Number of pages30
JournalAnnals of Probability
Volume49
Issue number3
DOIs
StatePublished - May 2021

Keywords

  • Chebyshev polynomials
  • Gaussian process
  • gap probability
  • one-sided barrier
  • persistence
  • spectral measure
  • stationary process

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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