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On Numerical Aspects of Bayesian Model Selection in High and Ultrahigh-dimensional Settings
This article examines the convergence properties of a Bayesian model selection procedure based on a non-local prior density in ultrahigh-dimensional settings. The performance of the model selection procedure is also compared to popular penalized likelihood methods. Coupling diagnostics are used to b...
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2013
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| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3968919/ https://ncbi.nlm.nih.gov/pubmed/24683431 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/13-BA818 |
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