Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/27164
Título: | Measuring the component overlapping in mixtures of linear regressions |
Autor(es): | Faria, Susana Soromenho, Gilda |
Palavras-chave: | Mixtures of linear regressions Entropy criterion Kullback-Leiber information Simulation study |
Data: | Jul-2013 |
Editora: | Statistical Modelling Society |
Resumo(s): | Entropy-type measures for the heterogeneity of data have been used for a long time. In a mixture model context, entropy criterions can be used to measure the overlapping of the mixture components. In this paper we study an entropy-based criterion in mixtures of linear regressions to measure the closeness between the mixture components. We show how an entropy criterion can be derived based on the Kullback-Leiber distance, which is a measure of distance between probability distributions. To investigate the e ectiveness of the proposed criterion, a simulation study was performed. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/27164 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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sfariagsoromenhoIWSM28.pdf | Documento Principal | 75,13 kB | Adobe PDF | Ver/Abrir |