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  5. VARIABLE SELECTION IN THE PRESENCE OF NONIGNORABLE MISSING DATA

VARIABLE SELECTION IN THE PRESENCE OF NONIGNORABLE MISSING DATA

来源 :上海交通大学 | 被引量 : 0次 | 上传用户：AAAA1234560
【摘 要】
：
The regularization approach for variable selection was well developed for a completely observed data set in the past two decades.In the presence of missing values,this approach needs to be tailored to
【作 者】
：
Jiwei Zhao Yang Yang Yang Ning 
【机 构】
：
State University of New York at Buffalo,Buffalo,NY 14214,USA
【出 处】
：
上海交通大学
【发表日期】
：
2016年4期
【关键词】
：
Variable selection Regularization Missing data mechanism Nonignorable missing da 
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　　The regularization approach for variable selection was well developed for a completely observed data set in the past two decades.In the presence of missing values,this approach needs to be tailored to different missing data mechanisms.In this paper,we focus on a flexible and generally applicable missing data mechanism,which contains both ignorable and nonignorable missing data mechanism assumptions.
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