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

Candès, Emmanuel and Tao, Terence (2007) Rejoinder: The Dantzig selector: Statistical estimation when p is much larger than n. Annals of Statistics, 35 (6). pp. 2392-2404. ISSN 0090-5364 http://resolver.caltech.edu/CaltechAUTHORS:20100820-094628097

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Abstract

First of all, we would like to thank all the discussants for their interest and comments, as well as for their thorough investigation. The comments all underlie the importance and timeliness of the topics discussed in our paper, namely, accurate statistical estimation in high dimensions. We would also like to thank the editors for this opportunity to comment briefly on a few issues raised in the discussions. Of special interest is the diversity of perspectives, which include theoretical, practical and computational issues. With this being said, there are two main points in the discussions that are quite recurrent: 1. Is it possible to extend and refine our theoretical results, and how do they compare against the very recent literature? 2. How does the Dantzig Selector (DS) compare with the Lasso? We will address these issues in this rejoinder but before we begin, we would like to restate as simply as possible the main point of our paper and put this work in a broader context so as to avoid confusion about our point of view and motivations.


Item Type:Article
Additional Information:© 2007 Institute of Mathematical Statistics. Received April 2007. E. J. Candès would like to thank Chiara Sabatti for fruitful conversations and insights.
Record Number:CaltechAUTHORS:20100820-094628097
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20100820-094628097
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:19549
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:20 Aug 2010 20:21
Last Modified:26 Dec 2012 12:20

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