On the extreme order statistics for stationary Gaussian sequences subject to random missing observations

Fuente: arXiv
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Auteurs principaux: Fang, Yuan, Tan, Zhongquan
Format: Preprint
Publié: 2023
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author Fang, Yuan
Tan, Zhongquan
author_facet Fang, Yuan
Tan, Zhongquan
contents Let $\mathbf{X}=\{X_{n}\}_{n\geq 1}$ be a sequence of stationary Gaussian variables and suppose that only some of the random variables from $\mathbf{X}$ can be observed. In this paper, by studying the limiting properties of multidimensional exceedance point processes for $\mathbf{X}$, we derived the joint limit distribution of extreme order statistics for the Gaussian sequence $\mathbf{X}$ and its observed ones. The joint limit distribution of the locations and heights of the maxima for the Gaussian sequence $\mathbf{X}$ and its observed ones are also obtained.
format Preprint
id arxiv_https___arxiv_org_abs_2306_13861
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle On the extreme order statistics for stationary Gaussian sequences subject to random missing observations
Fang, Yuan
Tan, Zhongquan
Probability
60G70, 60G15
Let $\mathbf{X}=\{X_{n}\}_{n\geq 1}$ be a sequence of stationary Gaussian variables and suppose that only some of the random variables from $\mathbf{X}$ can be observed. In this paper, by studying the limiting properties of multidimensional exceedance point processes for $\mathbf{X}$, we derived the joint limit distribution of extreme order statistics for the Gaussian sequence $\mathbf{X}$ and its observed ones. The joint limit distribution of the locations and heights of the maxima for the Gaussian sequence $\mathbf{X}$ and its observed ones are also obtained.
title On the extreme order statistics for stationary Gaussian sequences subject to random missing observations
topic Probability
60G70, 60G15
url https://arxiv.org/abs/2306.13861