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Type: Artigo
Title: A pragmatic entropy and differential entropy estimator for small datasets
Author: Montalvão, Jugurta
Attux, Romis
Silva, Daniel
Abstract: A pragmatic approach for entropy estimation is presented, first for discrete variables, then in the form of an extension for handling continuous and/or multivariate ones. It is based on coincidence detection, and its application leads to algorithms with three main attractive features: they are easy to use, can be employed without any a priori knowledge concerning source distribution (not even the alphabet cardinality K of discrete sources) and can provide useful estimates even when the number of samples is small (e.g. less than K, for discrete variables)
Subject: Entropia
Country: Brasil
Editor: Sociedade Brasileira de Telecomunicações
Rights: Aberto
Identifier DOI: 10.14209/jcis.2014.8
Date Issue: 2014
Appears in Collections:FEEC - Artigos e Outros Documentos

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