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Variable selection for semiparametric regression models with iterated penalization
Semiparametric regression models with multiple covariates are commonly encountered. When there are covariates not associated with response variable, variable selection may lead to sparser models, more lucid interpretations and more accurate estimation. In this study, we adopt a sieve approach for th...
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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2012
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3367330/ https://ncbi.nlm.nih.gov/pubmed/22685376 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10485252.2012.661054 |
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