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Main Authors: Yao, Liu-Quan, Liu, Song-Hao
Format: Preprint
Published: 2024
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Online Access:https://arxiv.org/abs/2401.11381
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author Yao, Liu-Quan
Liu, Song-Hao
author_facet Yao, Liu-Quan
Liu, Song-Hao
contents In this paper, we consider the symmetric KL-divergence between the sum of independent variables and a Gaussian distribution, and obtain a convergence rates of order $O\left( \frac{\ln n}{\sqrt{n}}\right)$. The proof is based on Stein's method. The convergence rate of order $O\left( \frac{1}{\sqrt{n}}\right)$ and $O\left( \frac{1}{n}\right) $ are also obtained under higher moment condition.
format Preprint
id arxiv_https___arxiv_org_abs_2401_11381
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Symmetric KL-divergence by Stein's Method
Yao, Liu-Quan
Liu, Song-Hao
Probability
60F05, 60G50
In this paper, we consider the symmetric KL-divergence between the sum of independent variables and a Gaussian distribution, and obtain a convergence rates of order $O\left( \frac{\ln n}{\sqrt{n}}\right)$. The proof is based on Stein's method. The convergence rate of order $O\left( \frac{1}{\sqrt{n}}\right)$ and $O\left( \frac{1}{n}\right) $ are also obtained under higher moment condition.
title Symmetric KL-divergence by Stein's Method
topic Probability
60F05, 60G50
url https://arxiv.org/abs/2401.11381