کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1147506 | 957766 | 2012 | 13 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Profiled adaptive Elastic-Net procedure for partially linear models with high-dimensional covariates
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Profiled adaptive Elastic-Net procedure for partially linear models with high-dimensional covariates Profiled adaptive Elastic-Net procedure for partially linear models with high-dimensional covariates](/preview/png/1147506.png)
چکیده انگلیسی
We study variable selection for partially linear models when the dimension of covariates diverges with the sample size. We combine the ideas of profiling and adaptive Elastic-Net. The resulting procedure has oracle properties and can handle collinearity well. A by-product is the uniform bound for the absolute difference between the profiled and original predictors. We further examine finite sample performance of the proposed procedure by simulation studies and analysis of a labor-market dataset for an illustration.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Statistical Planning and Inference - Volume 142, Issue 7, July 2012, Pages 1733-1745
Journal: Journal of Statistical Planning and Inference - Volume 142, Issue 7, July 2012, Pages 1733-1745
نویسندگان
Baicheng Chen, Yao Yu, Hui Zou, Hua Liang,