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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...
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| Pubblicato in: | Entropy (Basel) |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7516723/ https://ncbi.nlm.nih.gov/pubmed/33286044 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e22030270 |
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