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Rejoinder: One-step sparse estimates in nonconcave penalized likelihood
  models

Rejoinder: One-step sparse estimates in nonconcave penalized likelihood models

7 August 2008
H. Zou
Runze Li
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Papers citing "Rejoinder: One-step sparse estimates in nonconcave penalized likelihood models"

8 / 8 papers shown
Title
Learning Multi-Attribute Differential Graphs with Non-Convex Penalties
Learning Multi-Attribute Differential Graphs with Non-Convex Penalties
Jitendra K Tugnait
678
0
0
14 May 2025
Partially linear additive quantile regression in ultra-high dimension
Partially linear additive quantile regression in ultra-high dimension
Ben Sherwood
Lan Wang
95
111
0
22 Jan 2016
The sparsity and bias of the Lasso selection in high-dimensional linear
  regression
The sparsity and bias of the Lasso selection in high-dimensional linear regression
Cun-Hui Zhang
Jian Huang
271
869
0
07 Aug 2008
Lasso-type recovery of sparse representations for high-dimensional data
Lasso-type recovery of sparse representations for high-dimensional data
N. Meinshausen
Bin Yu
229
879
0
01 Jun 2008
High-dimensional generalized linear models and the lasso
High-dimensional generalized linear models and the lasso
Sara van de Geer
421
755
0
04 Apr 2008
Variable selection in semiparametric regression modeling
Variable selection in semiparametric regression modeling
Runze Li
Hua Liang
81
300
0
13 Mar 2008
Piecewise linear regularized solution paths
Piecewise linear regularized solution paths
Saharon Rosset
Ji Zhu
278
518
0
16 Aug 2007
Hazard models with varying coefficients for multivariate failure time
  data
Hazard models with varying coefficients for multivariate failure time data
Jianwen Cai
Jianqing Fan
Haibo Zhou
Yong Zhou
138
57
0
03 Aug 2007
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