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5. Tuning Parameter Selection in Cox Proportional Hazards Model with a Diverging Number of Parameters

Tuning Parameter Selection in Cox Proportional Hazards Model with a Diverging Number of Parameters

来源 :上海交通大学 | 被引量 : 0次 | 上传用户：bbbeatrice

【摘 要】

：

Regularized variable selection is a powerful tool for identifying the true regression model from a pool of candidates by applying penalties to the objective functions.The penalty functions involve a t

【作 者】

：

Ai Ni Jianwen Cai 

【机 构】

：

Department of Epidemiology and Biostatistics,Memorial Sloan Kettering Cancer Center,10017,USA

【出 处】

：

上海交通大学

【发表日期】

：

2016年4期

【关键词】

：

Cox Proportional Hazards Model Diverging Number of Parameter Oracle Property Tun 

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　　Regularized variable selection is a powerful tool for identifying the true regression model from a pool of candidates by applying penalties to the objective functions.The penalty functions involve a tuning parameter that control the complexity of the selected model.

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