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High minima of non-smooth Gaussian processes

Authors :
Wu, Zhixin
Chakrabarty, Arijit
Samorodnitsky, Gennady
Publication Year :
2019

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.<br />Comment: A few typos are corrected. The paper will appear in Electronic Communications in Probability

Subjects

Subjects :
Mathematics - Probability

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1902.10894
Document Type :
Working Paper