Article Type
Research Article
Publication Title
Electronic Communications in Probability
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.
DOI
10.1214/19-ECP251
Publication Date
1-1-2019
Recommended Citation
Wu, Zhixin; Chakrabarty, Arijit; and Samorodnitsky, Gennady, "High minima of non-smooth Gaussian processes" (2019). Journal Articles. 1022.
https://digitalcommons.isical.ac.in/journal-articles/1022
Comments
Open Access, Bronze, Green