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Leave-one-out prediction intervals in linear regression models with many
  variables

Leave-one-out prediction intervals in linear regression models with many variables

18 February 2016
Lukas Steinberger
Hannes Leeb
ArXiv (abs)PDFHTML

Papers citing "Leave-one-out prediction intervals in linear regression models with many variables"

3 / 3 papers shown
Title
Asymptotic behavior of unregularized and ridge-regularized
  high-dimensional robust regression estimators : rigorous results
Asymptotic behavior of unregularized and ridge-regularized high-dimensional robust regression estimators : rigorous results
N. Karoui
88
109
0
11 Nov 2013
Shrinkage estimators for prediction out-of-sample: Conditional
  performance
Shrinkage estimators for prediction out-of-sample: Conditional performance
Nina Huber
Hannes Leeb
109
7
0
05 Sep 2012
The spectrum of kernel random matrices
The spectrum of kernel random matrices
N. Karoui
165
224
0
04 Jan 2010
1