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Bayesian LASSO, Scale Space and Decision Making in Association Genetics
BACKGROUND: LASSO is a penalized regression method that facilitates model fitting in situations where there are as many, or even more explanatory variables than observations, and only a few variables are relevant in explaining the data. We focus on the Bayesian version of LASSO and consider four pro...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4391919/ https://www.ncbi.nlm.nih.gov/pubmed/25856391 http://dx.doi.org/10.1371/journal.pone.0120017 |