Discussion: The Dantzig selector: Statistical estimation when p is much larger than n

By Bradley Efron, Trevor J. Hastie, Robert Tibshirani. 2007

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1. Introduction. This is a fascinating paper on an important topic: the choice of predictor variables in large-scale linear models. A previous paper in these pages attacked the same problem using the “LARS” algorithm (Efron, Hastie, Johnstone and Tibshirani [3]); actually three algorithms including the Lasso as middle case. There are tantalizing similarities between the Dantzig Selector (DS) and the LARS methods, but they are not the same and produce somewhat different models. We explore this relationship with the Lasso and LARS here. 2. Dantzig selector and the Lasso. The definition of the Dantzig selector (DS) in (1.7) can be re-expressed as

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/b84b8bd8daeaa786f1f5e2bb0b06313568198b34

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In Statistics and Probability

  1. Cun-Hui Zhang
  2. Jinchi Lv
  3. Jianqing Fan
  4. Peter Radchenko
  5. Peter Buhlmann
  6. Hui Zou
  7. Gareth M. James
  8. Yingying Fan

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