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Dense Signals, Linear Estimators, and Out-of-Sample Prediction for
  High-Dimensional Linear Models

Dense Signals, Linear Estimators, and Out-of-Sample Prediction for High-Dimensional Linear Models

15 February 2011
Lee H. Dicker
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Papers citing "Dense Signals, Linear Estimators, and Out-of-Sample Prediction for High-Dimensional Linear Models"

3 / 3 papers shown
Title
Minimax rates of estimation for high-dimensional linear regression over
  $\ell_q$-balls
Minimax rates of estimation for high-dimensional linear regression over ℓq\ell_qℓq​-balls
Garvesh Raskutti
Martin J. Wainwright
Bin Yu
174
575
0
11 Oct 2009
Conditional predictive inference post model selection
Conditional predictive inference post model selection
Hannes Leeb
TPM
126
32
0
25 Aug 2009
Operator norm consistent estimation of large-dimensional sparse
  covariance matrices
Operator norm consistent estimation of large-dimensional sparse covariance matrices
N. Karoui
158
397
0
21 Jan 2009
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