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Variable Selection with Prior Information for Generalized Linear Models via the Prior LASSO Method
LASSO is a popular statistical tool often used in conjunction with generalized linear models that can simultaneously select variables and estimate parameters. When there are many variables of interest, as in current biological and biomedical studies, the power of LASSO can be limited. Fortunately, s...
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| Publicat a: | J Am Stat Assoc |
|---|---|
| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2016
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4874534/ https://ncbi.nlm.nih.gov/pubmed/27217599 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2015.1008363 |
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