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Bayesian Model Selection For Incomplete Data using the Posterior Predictive Distribution
We explore the use of a posterior predictive loss criterion for model selection for incomplete longitudinal data. We begin by identifying a property that most model selection criteria for incomplete data should consider. We then show that a straightforward extension of the Gelfand and Ghosh (1998) c...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2012
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3890150/ https://ncbi.nlm.nih.gov/pubmed/22551040 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1541-0420.2012.01766.x |
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