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Automatic Model Selection for Partially Linear Models
We propose and study a unified procedure for variable selection in partially linear models. A new type of double-penalized least squares is formulated, using the smoothing spline to estimate the nonparametric part and applying a shrinkage penalty on parametric components to achieve model parsimony....
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2009
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2766091/ https://ncbi.nlm.nih.gov/pubmed/20160947 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jmva.2009.06.009 |
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