Open Access
2019 High minima of non-smooth Gaussian processes
Zhixin Wu, Arijit Chakrabarty, Gennady Samorodnitsky
Electron. Commun. Probab. 24: 1-12 (2019). DOI: 10.1214/19-ECP251

Abstract

In this short note we study the asymptotic behaviour of the minima over compact intervals of Gaussian processes, whose paths are not necessarily smooth. We show that, beyond the logarithmic large deviation Gaussian estimates, this problem is closely related to the classical small-ball problem. Under certain conditions we estimate the term describing the correction to the large deviation behaviour. In addition, the asymptotic distribution of the location of the minimum, conditionally on the minimum exceeding a high threshold, is also studied.

Citation

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Zhixin Wu. Arijit Chakrabarty. Gennady Samorodnitsky. "High minima of non-smooth Gaussian processes." Electron. Commun. Probab. 24 1 - 12, 2019. https://doi.org/10.1214/19-ECP251

Information

Received: 3 March 2019; Accepted: 21 June 2019; Published: 2019
First available in Project Euclid: 12 September 2019

zbMATH: 1422.60060
MathSciNet: MR4003127
Digital Object Identifier: 10.1214/19-ECP251

Subjects:
Primary: 60F10 , 60G15
Secondary: 60G70

Keywords: Gaussian process , high excursions , minima

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