Rates of convergence for Renyi entropy in extreme value theory

Fuente: arXiv
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1. Verfasser: Saeb, Ali
Format: Preprint
Veröffentlicht: 2014
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author Saeb, Ali
author_facet Saeb, Ali
contents Max stable laws are limit laws of linearly normalized partial maxima of independent identically distributed random variables. Saeb (2014) proves that the Renyi entropy of order b (b > 1) of linear normalized maximum of iid random variables with continuous differentiable density is convergent to the Renyi entropy of order b of the max stable laws. In this paper, we study the rate of convergence result for Renyi entropy for linearly normalized partial maxima.
format Preprint
id arxiv_https___arxiv_org_abs_1402_4316
institution arXiv
publishDate 2014
record_format arxiv
spellingShingle Rates of convergence for Renyi entropy in extreme value theory
Saeb, Ali
Statistics Theory
Max stable laws are limit laws of linearly normalized partial maxima of independent identically distributed random variables. Saeb (2014) proves that the Renyi entropy of order b (b > 1) of linear normalized maximum of iid random variables with continuous differentiable density is convergent to the Renyi entropy of order b of the max stable laws. In this paper, we study the rate of convergence result for Renyi entropy for linearly normalized partial maxima.
title Rates of convergence for Renyi entropy in extreme value theory
topic Statistics Theory
url https://arxiv.org/abs/1402.4316