Publications
Detailed Information
Penalty methods for model selection in quantile regression
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 박병욱 | - |
| dc.contributor.author | 이선미 | - |
| dc.date.accessioned | 2009-12-15T02:18:52Z | - |
| dc.date.available | 2009-12-15T02:18:52Z | - |
| dc.date.copyright | 2008. | - |
| dc.date.issued | 2008 | - |
| dc.identifier.uri | http://dcollection.snu.ac.kr:80/jsp/common/DcLoOrgPer.jsp?sItemId=000000040844 | eng |
| dc.identifier.uri | https://hdl.handle.net/10371/20751 | - |
| dc.description | Thesis(masters) --서울대학교 대학원 :통계학과,2008. 2. | en |
| dc.format.extent | ii, 27 장 | en |
| dc.language.iso | en | - |
| dc.publisher | 서울대학교 대학원 | en |
| dc.subject | 적응 lasso | en |
| dc.subject | Adaptive lasso | en |
| dc.subject | 분위수 회귀 계산 방법 | en |
| dc.subject | computational technique | en |
| dc.subject | lasso | en |
| dc.subject | lasso | en |
| dc.subject | SCAD | en |
| dc.subject | SCAD | en |
| dc.subject | 오라클의 성질 | en |
| dc.subject | quantile regression | en |
| dc.title | Penalty methods for model selection in quantile regression | en |
| dc.type | Thesis | - |
| dc.contributor.department | 통계학과 | - |
| dc.description.degree | Master | en |
- Appears in Collections:
- Files in This Item:
- There are no files associated with this item.
Item View & Download Count
Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.