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Smoothing $\ell_1$-penalized estimators for high-dimensional time-course
  data

Smoothing ℓ1\ell_1ℓ1​-penalized estimators for high-dimensional time-course data

11 December 2007
L. Meier
Peter Buhlmann
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Smoothing $\ell_1$-penalized estimators for high-dimensional time-course data"

8 / 8 papers shown
Title
Rejoinder: One-step sparse estimates in nonconcave penalized likelihood
  models
Rejoinder: One-step sparse estimates in nonconcave penalized likelihood models
H. Zou
Runze Li
288
1,234
0
07 Aug 2008
Discussion: One-step sparse estimates in nonconcave penalized likelihood
  models
Discussion: One-step sparse estimates in nonconcave penalized likelihood models
Cun-Hui Zhang
111
61
0
07 Aug 2008
Discussion: One-step sparse estimates in nonconcave penalized likelihood
  models
Discussion: One-step sparse estimates in nonconcave penalized likelihood models
Peter Buhlmann
L. Meier
138
40
0
07 Aug 2008
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
469
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
475
882
0
01 Jun 2008
High-dimensional generalized linear models and the lasso
High-dimensional generalized linear models and the lasso
Sara van de Geer
627
756
0
04 Apr 2008
Sparsity oracle inequalities for the Lasso
Sparsity oracle inequalities for the Lasso
F. Bunea
Alexandre B. Tsybakov
M. Wegkamp
557
472
0
23 May 2007
High-dimensional variable selection
High-dimensional variable selection
Larry Wasserman
Kathryn Roeder
585
582
0
09 Apr 2007
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