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Residual variance and the signal-to-noise ratio in high-dimensional
  linear models

Residual variance and the signal-to-noise ratio in high-dimensional linear models

31 August 2012
Lee H. Dicker
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Papers citing "Residual variance and the signal-to-noise ratio in high-dimensional linear models"

2 / 2 papers shown
Title
Ridge regression and asymptotic minimax estimation over spheres of
  growing dimension
Ridge regression and asymptotic minimax estimation over spheres of growing dimension
Lee H. Dicker
28
75
0
15 Jan 2016
Confidence Intervals and Hypothesis Testing for High-Dimensional
  Regression
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression
Adel Javanmard
Andrea Montanari
33
760
0
13 Jun 2013
1