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Bayesian block-diagonal variable selection and model averaging

We propose a scalable algorithmic framework for exact Bayesian variable selection and model averaging in linear models under the assumption that the Gram matrix is block-diagonal, and as a heuristic for exploring the model space for general designs. In block-diagonal designs our approach returns the...

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Detalles Bibliográficos
Publicado en:Biometrika
Autores principales: Papaspiliopoulos, O., Rossell, D.
Formato: Artigo
Lenguaje:Inglês
Publicado: 2017
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Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC5975653/
https://ncbi.nlm.nih.gov/pubmed/29861501
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