Journal article 1277 views 327 downloads
Model selection and estimation in high dimensional regression models with group SCAD
Statistics & Probability Letters, Volume: 103, Pages: 86 - 92
Swansea University Author: Jiang-lun Wu
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DOI (Published version): 10.1016/j.spl.2015.04.017
Abstract
In this paper, we study the oracle property of the group SCAD under high dimensional settings where the number of groups can grow at a certain polynomial rate. Numerical studies are presented to demonstrate the merit of the group SCAD.
Published in: | Statistics & Probability Letters |
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Published: |
2015
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Online Access: |
http://www.ams.org/leavingmsn?url=http://dx.doi.org/10.1016/j.spl.2015.04.017 |
URI: | https://cronfa.swan.ac.uk/Record/cronfa22316 |
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Abstract: |
In this paper, we study the oracle property of the group SCAD under high dimensional settings where the number of groups can grow at a certain polynomial rate. Numerical studies are presented to demonstrate the merit of the group SCAD. |
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Keywords: |
Group selection; high dimension, oracle property, group SCAD, sparsity. |
College: |
Faculty of Science and Engineering |
Start Page: |
86 |
End Page: |
92 |