A LACK-OF-FIT TEST WITH SCREENING IN SUFFICIENT DIMENSION REDUCTION FOR ULTRAHIGH DIMENSIONAL DATA

来源 :上海交通大学 | 被引量 : 0次 | 上传用户：super4ok

【摘要】

：

It is of fundamental importance to infer how the conditional mean of the response varies with the predictors in high dimensional data analysis.

【作者】

：

Yaowu Zhang Wei Zhong Liping Zhu

【机构】

：

Shanghai University of Finance and Economics,Shanghai 200433,P.R.China

【出处】

：

上海交通大学

【发表日期】

：

2016年4期

【关键词】

：

Bootstrap procedure Central mean subspace Lack-of-fit test Sufficient dimension

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　　It is of fundamental importance to infer how the conditional mean of the response varies with the predictors in high dimensional data analysis.

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A LACK-OF-FIT TEST WITH SCREENING IN SUFFICIENT DIMENSION REDUCTION FOR ULTRAHIGH DIMENSIONAL DATA

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