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An Additive Sparse Penalty for Variable Selection in High-Dimensional Linear Regression Model
( Sangin Lee )
2015년
활용도 Analysis
논문 Analysis
연구자 Analysis
활용도 Analysis
논문 Analysis
연구자 Analysis
활용도
공유도
영향력
논문상세정보
저자
( Sangin Lee )
주제어
Additive sparse penalty
concaveconvexprocedure
coordinatedescentalgorithm
LASSO
minimax concave penalty
variable selection
참고문헌( 10)
유사주제 논문( 111)
lasso 55건
variable selection 52건
concaveconvexprocedure 2건
coordinatedescentalgorithm 1건
minimax concave penalty 1건
인용/피인용
An Additive Sparse Penalty for Variable Select ...
' An Additive Sparse Penalty for Variable Selection in High-Dimensional Linear Regression Model' 의 주제별 논문영향력
논문영향력 요약
주제
additive sparse penalty
concaveconvexprocedure
coordinatedescentalgorithm
lasso
minimax concave penalty
variable selection
동일주제 총논문수
논문피인용 총횟수
주제별 논문영향력의 평균
117
0
0.0%
자세히
주제별 논문영향력
논문영향력
주제
주제별 논문수
주제별 피인용횟수
주제별 논문영향력
주제어
additive sparse penalty
1
0
0.0%
concaveconvexprocedure
3
0
0.0%
coordinatedescentalgorithm
2
0
0.0%
lasso
56
0
0.0%
minimax concave penalty
2
0
0.0%
variable selection
53
0
0.0%
계
117
0
0.0%
* 다른 주제어 보유 논문에서 피인용된 횟수
0
닫기
' An Additive Sparse Penalty for Variable Selection in High-Dimensional Linear Regression Model'
의 참고문헌
Variable selection via nonconcave penalized likelihood and its oracle properties
Fan, J
Journal of the American Statistical Association 96 : 1348 ~ 1360
[2001]
The concave-convex procedure
Yuille, A. L.
Neural Computation 15 : 915 ~ 936
[2003]
Smoothly clipped absolute deviation on high dimensions
Kim, Y.
Journal of the American Statistical Association 103 : 1665 ~ 1673
[2008]
Shrinkage tuning parameter selection with a diverging number of parameters
Wang, H.
Journal of the Royal Statistical Society : Series B(Statistical Methodology) 71 : 671 ~ 683
[2009]
Regularization paths for generalized linear models via coordinate descent
Friedman, J.
Journal of Statistical Software 33 : 1 ~ 22
[2010]
Regularization and variable selection via the elastic net
Zou H
Journal of the Royal Statistical Society : Series B(Statistical Methodology) 67 : 301 ~ 320
[2005]
Regression shrinkage and selection via the Lasso
Tibshirani, R
Journal of the Royal Statistical Society : Series B(Statistical Methodology) 58 : 267 ~ 288
[1996]
Reg-ulations of gene expression in the mammalian eye and its relevance to eye disease
Scheetz, T. E.
Proceedings of the National Academy of Sciences 103 : 14429 ~ 14434
[2006]
Nearly unbiased variable selection under minimax concave penalty
Zhang, C. -H.
Annals of Statistics 58 : 894 ~ 942
[2010]
Homozygosity mapping with SNP arrays identifies TRIM32, an E3 ubiquitin ligase, as a Bardet-Biedl syndrome gene (BBS11)
Beck, J. S.
Braun, T. A.
Chiang, A. P.
Huang, J.
Kim, K.-Y. A.
Nishimura, D. Y.
Scheetz, T. E.
Swiderski, R. E.
Tayeh, M. K.
Yen, H.-J.
Proceedings of the National Academy of Sciences 103 : 6287 ~ 6292
[2006]
' An Additive Sparse Penalty for Variable Selection in High-Dimensional Linear Regression Model'
의 유사주제(
) 논문