PERSISTENCE OF GAUSSIAN STATIONARY PROCESSES: A SPECTRAL PERSPECTIVE

Naomi Feldheim; Ohad Feldheim; Shahaf Nitzan

doi:10.1214/20-AOP1470

PERSISTENCE OF GAUSSIAN STATIONARY PROCESSES: A SPECTRAL PERSPECTIVE

Naomi Feldheim, Ohad Feldheim, Shahaf Nitzan

Department of Mathematics

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

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 language	English
Pages (from-to)	1067-1096
Number of pages	30
Journal	Annals of Probability
Volume	49
Issue number	3
DOIs	https://doi.org/10.1214/20-AOP1470
State	Published - May 2021

Bibliographical note

Publisher Copyright:
© Institute of Mathematical Statistics, 2021

Funding

Acknowledgments. N.F. acknowledges the supports of NSF postdoctoral fellowship MSPRF-1503094 held at Stanford. O.F. acknowledges the support of NSF grant DMS-1613091 while holding a postdoctoral position at Stanford. S.N. acknowledges the support of NSF Grant DMS-1600726.

Funders	Funder number
National Science Foundation	DMS-1613091, MSPRF-1503094, DMS-1600726

Keywords

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

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10.1214/20-AOP1470

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PERSISTENCE OF GAUSSIAN STATIONARY PROCESSES: A SPECTRAL PERSPECTIVE

Abstract

Bibliographical note

Funding

Keywords

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