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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| 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 |