Discussion: The Dantzig selector: statistical estimation when $p$ is much larger than $n$
Ya'acov Ritov

TL;DR
This paper discusses the Dantzig selector, a statistical estimation method designed for high-dimensional settings where the number of parameters greatly exceeds the number of observations.
Contribution
It provides insights and commentary on the properties and applications of the Dantzig selector in high-dimensional statistical estimation.
Findings
Highlights the effectiveness of the Dantzig selector in sparse high-dimensional models
Analyzes the theoretical properties and potential limitations of the method
Suggests directions for future research in high-dimensional estimation
Abstract
Discussion of ``The Dantzig selector: Statistical estimation when is much larger than '' [math/0506081]
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
