Model Selection in a Composite Likelihood Framework Based on Density Power Divergence

This paper presents a model selection criterion in a composite likelihood framework based on density power divergence measures and in the composite minimum density power divergence estimators, which depends on an tuning parameter [Formula: see text]. After introducing such a criterion, some asymptot...

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Detalles Bibliográficos
Autores principales: Castilla, Elena, Martín, Nirian, Pardo, Leandro, Zografos, Konstantinos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516723/
https://www.ncbi.nlm.nih.gov/pubmed/33286044
http://dx.doi.org/10.3390/e22030270

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516723/
https://www.ncbi.nlm.nih.gov/pubmed/33286044
http://dx.doi.org/10.3390/e22030270

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