Censored Cumulative Residual Independent Screening for Ultrahigh-Dimensional Survival Data

来源 :上海交通大学 | 被引量 : 0次 | 上传用户：wow32167

【摘要】

：

For complete ultrahigh-dimensional data,sure independent screening methods can effectively reduce the dimensionality while ensuring that all the active variables can be retained with high probability.

【作者】

：

Zhang Jing Yin Guosheng Liu Yanyan Wu Yuanshan

【机构】

：

Wuhan University,430072,China Hongkong University

【出处】

：

上海交通大学

【发表日期】

：

2016年4期

【关键词】

：

Cumulative residual Model-free screening Sure screening property Survival data U

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Censored Cumulative Residual Independent Screening for Ultrahigh-Dimensional Survival Data

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