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Tractable Bayesian variable selection: beyond normality
Bayesian variable selection often assumes normality, but the effects of model misspecification are not sufficiently understood. There are sound reasons behind this assumption, particularly for large p: ease of interpretation, analytical and computational convenience. More flexible frameworks exist,...
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| Publicado no: | J Am Stat Assoc |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6426142/ https://ncbi.nlm.nih.gov/pubmed/30906086 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2017.1371025 |
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