Large Deviations for High Minima of Gaussian Processes with Nonnegatively Correlated Increments

Fuente: arXiv
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1. Verfasser: Selk, Zachary
Format: Preprint
Veröffentlicht: 2021
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author Selk, Zachary
author_facet Selk, Zachary
contents In this article we prove large deviations principles for high minima of Gaussian processes with nonnegatively correlated increments on arbitrary intervals. Furthermore, we prove large deviations principles for the increments of such processes on intervals $[a,b]$ where $b-a$ is either less than the increment or twice the increment, assuming stationarity of the increments. As a chief example, we consider fractional Brownian motion and fractional Gaussian noise for $H\geq 1/2$.
format Preprint
id arxiv_https___arxiv_org_abs_2103_04501
institution arXiv
publishDate 2021
record_format arxiv
spellingShingle Large Deviations for High Minima of Gaussian Processes with Nonnegatively Correlated Increments
Selk, Zachary
Probability
60G15, 60G22, 60K25, 60G55, 60F10
In this article we prove large deviations principles for high minima of Gaussian processes with nonnegatively correlated increments on arbitrary intervals. Furthermore, we prove large deviations principles for the increments of such processes on intervals $[a,b]$ where $b-a$ is either less than the increment or twice the increment, assuming stationarity of the increments. As a chief example, we consider fractional Brownian motion and fractional Gaussian noise for $H\geq 1/2$.
title Large Deviations for High Minima of Gaussian Processes with Nonnegatively Correlated Increments
topic Probability
60G15, 60G22, 60K25, 60G55, 60F10
url https://arxiv.org/abs/2103.04501