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Asymptotic Properties of Lasso+mLS and Lasso+Ridge in Sparse
  High-dimensional Linear Regression

Asymptotic Properties of Lasso+mLS and Lasso+Ridge in Sparse High-dimensional Linear Regression

24 June 2013
Hanzhong Liu
Bin Yu
ArXivPDFHTML

Papers citing "Asymptotic Properties of Lasso+mLS and Lasso+Ridge in Sparse High-dimensional Linear Regression"

5 / 5 papers shown
Title
Cross-Validation and Uncertainty Determination for Randomized Neural
  Networks with Applications to Mobile Sensors
Cross-Validation and Uncertainty Determination for Randomized Neural Networks with Applications to Mobile Sensors
A. Steland
B. Pieters
UQCV
18
1
0
06 Jan 2021
Method of Contraction-Expansion (MOCE) for Simultaneous Inference in
  Linear Models
Method of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models
Fei-Yue Wang
Ling Zhou
Lu Tang
P. Song
23
4
0
04 Aug 2019
Uncertainty quantification for the horseshoe
Uncertainty quantification for the horseshoe
S. V. D. Pas
Botond Szabó
A. van der Vaart
30
72
0
07 Jul 2016
Model Selection for High-Dimensional Regression under the Generalized
  Irrepresentability Condition
Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition
Adel Javanmard
Andrea Montanari
69
21
0
02 May 2013
High-dimensional generalized linear models and the lasso
High-dimensional generalized linear models and the lasso
Sara van de Geer
189
749
0
04 Apr 2008
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