Variable selection in a partially linear proportional hazards model with a diverging dimensionality

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 covariat...

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Bibliographic Details
Main Authors: Hu, Yuao, Lian, Heng
Other Authors: School of Physical and Mathematical Sciences
Format: Article
Language:English
Published: 2013
Online Access:https://hdl.handle.net/10356/103850
http://hdl.handle.net/10220/16962
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Institution: Nanyang Technological University
Language: English
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