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Simultaneous analysis of Lasso and Dantzig selector

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Bickel, Peter J., Ritov, Ya’acov, Tsybakov, Alexandre B.·2009·The Annals of Statistics

Abstract

We show that, under a sparsity scenario, the Lasso estimator and the Dantzig selector exhibit similar behavior. For both methods, we derive, in parallel, oracle inequalities for the prediction risk in the general nonparametric regression model, as well as bounds on the ℓp estimation loss for 1≤p≤2 in the linear model when the number of variables can be much larger than the sample size.

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Metadata

Authors
Bickel, P. J., Ritov, Y., & Tsybakov, A. B.
Venue
The Annals of Statistics
Published
2009-08-01
Volume
37
Issue
4
Pages
1705-1732
ISSN
0090-5364 (ISSN-L)
OpenAlex
W2116581043
Cited by
2,396
References
1
FWCI
101.94
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Simultaneous analysis of Lasso and Dantzig selector. https://app.cochat.ai/papers/10.1214/08-aos620
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Bickel, P. J., Ritov, Y., & Tsybakov, A. B. (2009). Simultaneous analysis of Lasso and Dantzig selector. The Annals of Statistics. https://doi.org/10.1214/08-aos620

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