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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...
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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/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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