Rejoinder: The Dantzig selector: Statistical estimation when $p$ is much larger than $n$
Emmanuel Cand\`es, Terence Tao

TL;DR
This paper discusses the Dantzig selector, a statistical estimation method designed for high-dimensional settings where the number of parameters exceeds the number of observations.
Contribution
It provides a detailed response and clarification to previous work on the Dantzig selector, emphasizing its theoretical properties and practical implications.
Findings
The Dantzig selector effectively estimates parameters in high-dimensional models.
The method achieves near-oracle performance under certain conditions.
The paper clarifies misconceptions and highlights the estimator's advantages.
Abstract
Rejoinder to ``The Dantzig selector: Statistical estimation when is much larger than '' [math/0506081]
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