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Consistent high-dimensional Bayesian variable selection via penalized credible regions

For high-dimensional data, particularly when the number of predictors greatly exceeds the sample size, selection of relevant predictors for regression is a challenging problem. Methods such as sure screening, forward selection, or penalized regressions are commonly used. Bayesian variable selection...

Täydet tiedot

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Bibliografiset tiedot
Päätekijät: Bondell, Howard D., Reich, Brian J.
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: 2012
Aiheet:
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC3587767/
https://ncbi.nlm.nih.gov/pubmed/23482517
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2012.716344
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