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5. SPOT:Sparse Optimal Transformations for High Dimensional Variable Selection and Exploratory Regressi

SPOT:Sparse Optimal Transformations for High Dimensional Variable Selection and Exploratory Regressi

来源 :上海交通大学 | 被引量 : 0次 | 上传用户：xulee_jj

【摘 要】

：

We develop a novel method called SParse Optimal Transformations(SPOT)to simultaneously select important variables and explore relationships between the response and predictor variables in high dimensi

【作 者】

：

Qiming Huang Yu Zhu 

【机 构】

：

Amazon Co.,98108,USA Purdue University,47907,USA

【出 处】

：

上海交通大学

【发表日期】

：

2016年4期

【关键词】

：

Optimal transformation nonparametric regression variable selection 

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　　We develop a novel method called SParse Optimal Transformations(SPOT)to simultaneously select important variables and explore relationships between the response and predictor variables in high dimensional nonparametric regression analysis.

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