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Factor models and variable selection in high-dimensional regression
  analysis

Factor models and variable selection in high-dimensional regression analysis

23 February 2012
A. Kneip
P. Sarda
ArXivPDFHTML

Papers citing "Factor models and variable selection in high-dimensional regression analysis"

7 / 7 papers shown
Title
The Dantzig selector and sparsity oracle inequalities
The Dantzig selector and sparsity oracle inequalities
V. Koltchinskii
248
134
0
04 Sep 2009
Adaptive Lasso for High Dimensional Regression and Gaussian Graphical
  Modeling
Adaptive Lasso for High Dimensional Regression and Gaussian Graphical Modeling
Shuheng Zhou
Sara van de Geer
Peter Buhlmann
125
81
0
13 Mar 2009
Smoothing splines estimators for functional linear regression
Smoothing splines estimators for functional linear regression
Christophe Crambes
A. Kneip
P. Sarda
66
297
0
25 Feb 2009
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
Regularized estimation of large covariance matrices
Regularized estimation of large covariance matrices
Peter J. Bickel
Elizaveta Levina
378
1,385
0
13 Mar 2008
Simultaneous analysis of Lasso and Dantzig selector
Simultaneous analysis of Lasso and Dantzig selector
Peter J. Bickel
Yaácov Ritov
Alexandre B. Tsybakov
535
2,530
0
07 Jan 2008
Methodology and convergence rates for functional linear regression
Methodology and convergence rates for functional linear regression
P. Hall
J. Horowitz
128
650
0
03 Aug 2007
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