Variable selection in high-dimensional partly linear additive models
Semiparametric models are particularly useful for high-dimensional regression problems. In this paper, we focus on partly linear additive models with a large number of predictors (can be larger than the sample size) and consider model estimation and variable selection based on polynomial spline expa...
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| 格式: | Article |
| 語言: | English |
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2013
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| 在線閱讀: | https://hdl.handle.net/10356/97695 http://hdl.handle.net/10220/17096 |
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