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Main Authors: Yu, Zhen Hong, Miao, Yu
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2604.11489
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author Yu, Zhen Hong
Miao, Yu
author_facet Yu, Zhen Hong
Miao, Yu
contents In the present paper, we derive Berry-Esseen bounds for the estimation of diversity indices on countable alphabets. A general non-asymptotic convergence rate is established for the plug-in estimator of a wide class of indices, including Simpson's index and Reńyi's entropy. For the practically crucial case of Shannon entropy, we provide explicit Berry-Esseen bounds for the standard plug-in estimator, as well as for two widely used bias-corrected variants, the Miller-Madow and the jackknife estimators.
format Preprint
id arxiv_https___arxiv_org_abs_2604_11489
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Berry-Esseen bounds for estimators of entropy and diversity indices on countable alphabets
Yu, Zhen Hong
Miao, Yu
Probability
In the present paper, we derive Berry-Esseen bounds for the estimation of diversity indices on countable alphabets. A general non-asymptotic convergence rate is established for the plug-in estimator of a wide class of indices, including Simpson's index and Reńyi's entropy. For the practically crucial case of Shannon entropy, we provide explicit Berry-Esseen bounds for the standard plug-in estimator, as well as for two widely used bias-corrected variants, the Miller-Madow and the jackknife estimators.
title Berry-Esseen bounds for estimators of entropy and diversity indices on countable alphabets
topic Probability
url https://arxiv.org/abs/2604.11489