Variable selection in high-dimensional partly linear additive models

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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書目詳細資料
主要作者:	Lian, Heng
其他作者:	School of Physical and Mathematical Sciences
格式:	Article
語言:	English
出版:	2013
主題:	DRNTU::Science::Mathematics::Statistics
在線閱讀:	https://hdl.handle.net/10356/97695 http://hdl.handle.net/10220/17096
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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