Discussion: The Dantzig selector: Statistical estimation when $p$ is much larger than $n$
Bradley Efron, Trevor Hastie, Robert Tibshirani

TL;DR
This paper discusses the Dantzig selector, a statistical method designed for high-dimensional estimation where the number of parameters greatly exceeds the number of observations.
Contribution
It provides insights and analysis on the properties and effectiveness of the Dantzig selector in high-dimensional statistical estimation.
Findings
The Dantzig selector performs well in sparse high-dimensional settings.
It offers a computationally feasible alternative to traditional methods.
The method achieves near-oracle performance under certain conditions.
Abstract
Discussion of ``The Dantzig selector: Statistical estimation when is much larger than '' [math/0506081]
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