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 |
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Pages (from-to) | 1067-1096 |
Number of pages | 30 |
Journal | Annals of Probability |
Volume | 49 |
Issue number | 3 |
DOIs | |
State | Published - May 2021 |
Bibliographical note
Funding Information: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.
Publisher Copyright:
© Institute of Mathematical Statistics, 2021
Keywords
- Chebyshev polynomials
- Gaussian process
- gap probability
- one-sided barrier
- persistence
- spectral measure
- stationary process