The maximum of a strongly correlated Gaussian process

Fuente: arXiv
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Main Authors: Li, Jason, Muirhead, Stephen
Format: Preprint
Published: 2026
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author Li, Jason
Muirhead, Stephen
author_facet Li, Jason
Muirhead, Stephen
contents We revisit a result of Mittal--Ylvisaker that states that the rescaled maximum of a stationary sequence of Gaussian random variables has a Gaussian limit if correlations decay sufficiently slowly. Taking a new approach we relax the conditions for the Gaussian limit and give an extension to smooth non-stationary random fields.
format Preprint
id arxiv_https___arxiv_org_abs_2605_20700
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle The maximum of a strongly correlated Gaussian process
Li, Jason
Muirhead, Stephen
Probability
We revisit a result of Mittal--Ylvisaker that states that the rescaled maximum of a stationary sequence of Gaussian random variables has a Gaussian limit if correlations decay sufficiently slowly. Taking a new approach we relax the conditions for the Gaussian limit and give an extension to smooth non-stationary random fields.
title The maximum of a strongly correlated Gaussian process
topic Probability
url https://arxiv.org/abs/2605.20700