Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1152039 | Statistics & Probability Letters | 2013 | 9 Pages |
Abstract
We consider the problem of simultaneous variable selection and estimation in partially linear proportional hazards models when the number of covariates in the linear part diverges with the sample size. We apply the smoothly clipped absolute deviation (SCAD) penalty to select the significant covariates in the linear part. Some simulations and a real data set are presented.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Yuao Hu, Heng Lian,