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Main Authors: Rojas, Helder, Logachov, Artem
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2401.16524
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author Rojas, Helder
Logachov, Artem
author_facet Rojas, Helder
Logachov, Artem
contents In this paper we provide an asymptotic theory for the symmetric version of the Kullback--Leibler (KL) divergence. We define a estimator for this divergence and study its asymptotic properties. In particular, we prove Law of Large Numbers (LLN) and the convergence to the normal law in the Central Limit Theorem (CLT) using this estimator.
format Preprint
id arxiv_https___arxiv_org_abs_2401_16524
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Central Limit Theorem on Symmetric Kullback-Leibler (KL) Divergence
Rojas, Helder
Logachov, Artem
Probability
In this paper we provide an asymptotic theory for the symmetric version of the Kullback--Leibler (KL) divergence. We define a estimator for this divergence and study its asymptotic properties. In particular, we prove Law of Large Numbers (LLN) and the convergence to the normal law in the Central Limit Theorem (CLT) using this estimator.
title Central Limit Theorem on Symmetric Kullback-Leibler (KL) Divergence
topic Probability
url https://arxiv.org/abs/2401.16524