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Model Selection for High-Dimensional Regression under the Generalized
  Irrepresentability Condition

Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition

2 May 2013
Adel Javanmard
Andrea Montanari
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Papers citing "Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition"

4 / 4 papers shown
Title
Confidence intervals for high-dimensional inverse covariance estimation
Confidence intervals for high-dimensional inverse covariance estimation
Jana Janková
Sara van de Geer
55
185
0
26 Mar 2014
Hypothesis Testing in High-Dimensional Regression under the Gaussian
  Random Design Model: Asymptotic Theory
Hypothesis Testing in High-Dimensional Regression under the Gaussian Random Design Model: Asymptotic Theory
Adel Javanmard
Andrea Montanari
99
160
0
17 Jan 2013
Thresholded Lasso for high dimensional variable selection and
  statistical estimation
Thresholded Lasso for high dimensional variable selection and statistical estimation
Shuheng Zhou
102
50
0
08 Feb 2010
Near-ideal model selection by $\ell_1$ minimization
Near-ideal model selection by ℓ1\ell_1ℓ1​ minimization
Emmanuel J. Candès
Y. Plan
121
217
0
02 Jan 2008
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