Sangin Lee

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	Moderately clipped LASSO for the high-dimensional generalized linear model	2020	Sangin Lee Boncho Ku Sunghoon Kown
+ PDF Chat	An efficient algorithm for the non-convex penalized multinomial logistic regression	2020	Sunghoon Kwon Dongshin Kim Sangin Lee
+	On the strong oracle property of concave penalized estimators with infinite penalty derivative at the origin	2020	Seungha Um Dongshin Kim Sangin Lee Sunghoon Kwon
+	A Unified Algorithm for the Non-Convex Penalized Estimation: The ncpen Package	2020	Dongshin Kim Sangin Lee Sunghoon Kwon
+	Unified Algorithm for Non-convex Penalized Estimation for Generalized Linear Models [R package ncpen version 1.0.0]	2018	Dongshin Kim Sunghoon Kwon Sangin Lee
+	Sparse pathway-based prediction models for high-throughput molecular data	2018	Sangin Lee Youngjo Lee Yudi Pawitan
+	ncpen: Unified Algorithm for Non-convex Penalized Estimation for Generalized Linear Models	2018	Dongshin Kim Sunghoon Kwon Sangin Lee
+	A unified algorithm for the non-convex penalized estimation: The ncpen package	2018	Dongshin Kim Sangin Lee Sunghoon Kwon
+ PDF Chat	A two-stage approach of gene network analysis for high-dimensional heterogeneous data	2017	Sangin Lee Faming Liang Ling Cai Guanghua Xiao
+	Tuning parameter selection for the adaptive LASSO in the autoregressive model	2016	Sunghoon Kwon Sangin Lee Okyoung Na
+	A doubly sparse approach for group variable selection	2016	Sunghoon Kwon Jeongyoun Ahn Woncheol Jang Sangin Lee Yongdai Kim
+	Moderately clipped LASSO	2015	Sunghoon Kwon Sangin Lee Yongdai Kim
+	A random-effect model approach for group variable selection	2015	Sangin Lee Yudi Pawitan Youngjo Lee
+ PDF Chat	A note on standardization in penalized regressions	2015	Sangin Lee
+	Sparse optimization for nonconvex group penalized estimation	2015	Sangin Lee Miae Oh Yongdai Kim
+ PDF Chat	Strong Rules for Nonconvex Penalties and Their Implications for Efficient Algorithms in High-Dimensional Regression	2014	Sangin Lee Patrick Breheny
+	Balancing stability and bias reduction in variable selection with the Mnet estimator	2013	Jian Huang Patrick Breheny Sangin Lee Shuangge Ma Cun‐Hui Zhang
+	Quadratic approximation for nonconvex penalized estimations with a diverging number of parameters	2012	Sangin Lee Yongdai Kim Sunghoon Kwon
+ PDF Chat	Boosting on the functional ANOVA decomposition	2009	Jin‐Seog Kim Yongdai Kim Yuwon Kim Sunghoon Kwon Sangin Lee

Common Coauthors

Coauthor	Papers Together
Sunghoon Kwon	11
Dongshin Kim	6
Yongdai Kim	5
Youngjo Lee	2
Patrick Breheny	2
Yudi Pawitan	2
Cun‐Hui Zhang	1
Yuwon Kim	1
Jin‐Seog Kim	1
Shuangge Ma	1
Boncho Ku	1
Sunghoon Kown	1
Miae Oh	1
Faming Liang	1
Guanghua Xiao	1
Jeongyoun Ahn	1
Jian Huang	1
Okyoung Na	1
Seungha Um	1
Ling Cai	1
Woncheol Jang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties	2001	Jianqing Fan Runze Li	13
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	13
+ PDF Chat	Nearly unbiased variable selection under minimax concave penalty	2010	Cun‐Hui Zhang	12
+	Smoothly Clipped Absolute Deviation on High Dimensions	2008	Yongdai Kim Hosik Choi Hee‐Seok Oh	10
+	On Model Selection Consistency of Lasso	2006	Peng Zhao Bin Yu	8
+	Global optimality of nonconvex penalized estimators	2012	Youdan Kim Sunghoon Kwon	8
+ PDF Chat	Pathwise coordinate optimization	2007	Jerome H. Friedman Trevor Hastie Holger Höfling Robert Tibshirani	7
+ PDF Chat	Model Selection and Estimation in Regression with Grouped Variables	2005	Ming Yuan Yi Lin	6
+ PDF Chat	Nonconcave penalized likelihood with a diverging number of parameters	2004	Jianqing Fan Heng Peng	6
+ PDF Chat	Asymptotic properties of bridge estimators in sparse high-dimensional regression models	2008	Jian Huang Joël L. Horowitz Shuangge Ma	6
+ PDF Chat	One-step sparse estimates in nonconcave penalized likelihood models	2008	Hui Zou Runze Li	6
+ PDF Chat	Least angle regression	2004	Bradley Efron Trevor Hastie Iain M. Johnstone Robert Tibshirani	6
+ PDF Chat	The Adaptive Lasso and Its Oracle Properties	2006	Hui Zou	5
+	Moderately clipped LASSO	2015	Sunghoon Kwon Sangin Lee Yongdai Kim	5
+	A General Theory of Concave Regularization for High-Dimensional Sparse Estimation Problems	2012	Cun‐Hui Zhang Tong Zhang	5
+	Calibrating nonconvex penalized regression in ultra-high dimension	2013	Lan Wang Yongdai Kim Runze Li	4
+	LARGE SAMPLE PROPERTIES OF THE SCAD-PENALIZED MAXIMUM LIKELIHOOD ESTIMATION ON HIGH DIMENSIONS	2012	Sunghoon Kwon Yongdai Kim	4
+	Large sample properties of the smoothly clipped absolute deviation penalized maximum likelihood estimation on high dimensions	2011	Sunghoon Kwon Yongdai Kim	4
+	Regularization Paths for Generalized Linear Models via Coordinate Descent.	2010	Jerome H. Friedman Trevor Hastie Rob Tibshirani	4
+	A new sparse variable selection via random-effect model	2013	Youngjo Lee Hee‐Seok Oh	4
+ PDF Chat	The sparsity and bias of the Lasso selection in high-dimensional linear regression	2008	Cun-Hui Zhang Jian Huang	4
+ PDF Chat	Component selection and smoothing in multivariate nonparametric regression	2006	Yi Lin Hao Helen Zhang	4
+ PDF Chat	A group bridge approach for variable selection	2009	Jian Huang Shuange Ma Huiliang Xie Cun-Hui Zhang	4
+	A Selective Review of Group Selection in High-Dimensional Models	2012	Jian Huang Patrick Breheny Shuangge Ma	4
+	The use of random-effect models for high-dimensional variable selection problems	2016	Sunghoon Kwon Seungyoung Oh Youngjo Lee	3
+ PDF Chat	Shrinkage Tuning Parameter Selection with a Diverging number of Parameters	2008	Hansheng Wang Bo Li Chenlei Leng	3
+	Penalized Regressions: The Bridge versus the Lasso	1998	Wenjiang J. Fu	3
+	On the adaptive elastic-net with a diverging number of parameters	2009	Hui Zou Hao Helen Zhang	3
+	Heuristics of instability and stabilization in model selection	1996	Leo Breiman	3
+	Coordinate descent algorithms for nonconvex penalized regression, with applications to biological feature selection	2011	Patrick Breheny Jian Huang	3
+	On Model Selection Consistency of Lasso	2006	ZhaoPeng Yubin Yubin	2
+	High-dimensional graphs and variable selection with the Lasso	2006	Nicolai Meinshausen Peter Bühlmann	2
+ PDF Chat	Consistent group selection in high-dimensional linear regression	2010	Fengrong Wei Jian Huang	2
+ PDF Chat	Estimating the Dimension of a Model	1978	Gideon Schwarz	2
+ PDF Chat	<i>SparseNet</i>: Coordinate Descent With Nonconvex Penalties	2011	Rahul Mazumder Jerome H. Friedman Trevor Hastie	2
+ PDF Chat	Sure Independence Screening for Ultrahigh Dimensional Feature Space	2008	Jianqing Fan Jinchi Lv	2
+ PDF Chat	Variable selection using MM algorithms	2005	David R. Hunter Runze Li	2
+	Consistency of the group Lasso and multiple kernel learning	2007	Francis Bach	2
+	Group coordinate descent algorithms for nonconvex penalized regression	2011	Fengrong Wei Hongxiao Zhu	2
+ PDF Chat	Penalized methods for bi-level variable selection	2009	Patrick Breheny Jian Huang	2
+	Estimating Optimal Transformations for Multiple Regression and Correlation	1985	Leo Breiman Jerome H. Friedman	2
+	A Sparse-Group Lasso	2012	Noah Simon Jerome H. Friedman Trevor Hastie Robert Tibshirani	2
+	Unified LASSO Estimation by Least Squares Approximation	2007	Hansheng Wang Chenlei Leng	2
+	Convergence of a Block Coordinate Descent Method for Nondifferentiable Minimization	2001	P. Tseng	2
+ PDF Chat	Tuning parameter selectors for the smoothly clipped absolute deviation method	2007	Hansheng Wang Runze Li C.-L. Tsai	2
+	Ridge Regression: Biased Estimation for Nonorthogonal Problems	2000	Arthur E. Hoerl Robert W. Kennard	2
+	Sparse inverse covariance estimation with the graphical lasso	2007	Jerome H. Friedman Trevor Hastie R. Tibshirani	2
+ PDF Chat	Double Hierarchical Generalized Linear Models (With Discussion)	2006	Youngjo Lee J. A. Nelder	2
+ PDF Chat	The benefit of group sparsity	2010	Junzhou Huang Tong Zhang	2
+ PDF Chat	Piecewise linear regularized solution paths	2007	Saharon Rosset Ji Zhu	2