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

Abstract

Discussion of ``The Dantzig selector: Statistical estimation when $p$ is much larger than $n$'' [math/0506081]

Published in at http://dx.doi.org/10.1214/009053607000000479 the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)

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• Least Angle Regression
• Discussion of "Least angle regression" by Efron et al
• Discussion of "Least angle regression" by Efron et al
• Discussion of "Least angle regression" by Efron et al
• Discussion of "Least angle regression" by Efron et al
• Discussion of "Least angle regression" by Efron et al
• Discussion of "Least angle regression" by Efron et al
• Discussion of "Least angle regression" by Efron et al
• Discussion of "Least angle regression" by Efron et al
• Rejoinder to "Least angle regression" by Efron et al

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• Pathwise coordinate optimization
• A framework to characterize performance of LASSO algorithms
• The Dantzig selector: Recovery of Signal via ${\ell }_1-\alpha {\ell }_2$ Minimization
• A performance analysis framework for SOCP algorithms in noisy compressed sensing
• A Theoretical Analysis of Sparse Recovery Stability of Dantzig Selector and LASSO
• Separation of undersampled composite signals using the Dantzig selector with overcomplete dictionaries
• Practical recipes for the model order reduction, dynamical simulation, and compressive sampling of large-scale open quantum systems
• A problem dependent analysis of SOCP algorithms in noisy compressed sensing
• Finding Dantzig selectors with a proximity operator based fixed-point algorithm