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Main Authors: Xiong, Yudan, Xu, Fangjun
Format: Preprint
Published: 2024
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Online Access:https://arxiv.org/abs/2403.19395
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author Xiong, Yudan
Xu, Fangjun
author_facet Xiong, Yudan
Xu, Fangjun
contents Let $X=\{X_n: n\in \mathbb{N}\}$ be a linear process with bounded probability density function $f(x)$. Under certain conditions, we use the kernel estimator \[ \frac{2}{n(n-1)h_n} \sum_{1\le i<j\le n}K\Big(\frac{X_i-X_j}{h_n}\Big) \] to estimate the quadratic functional of $\int_{\mathbb{R}}f^2(x)dx$ of the linear process $X=\{X_n: n\in \mathbb{N}\}$ and improve the corresponding results in [4].
format Preprint
id arxiv_https___arxiv_org_abs_2403_19395
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Kernel entropy estimation for linear processes II
Xiong, Yudan
Xu, Fangjun
Statistics Theory
Let $X=\{X_n: n\in \mathbb{N}\}$ be a linear process with bounded probability density function $f(x)$. Under certain conditions, we use the kernel estimator \[ \frac{2}{n(n-1)h_n} \sum_{1\le i<j\le n}K\Big(\frac{X_i-X_j}{h_n}\Big) \] to estimate the quadratic functional of $\int_{\mathbb{R}}f^2(x)dx$ of the linear process $X=\{X_n: n\in \mathbb{N}\}$ and improve the corresponding results in [4].
title Kernel entropy estimation for linear processes II
topic Statistics Theory
url https://arxiv.org/abs/2403.19395