Discussion of: Treelets—An adaptive multi-scale basis for sparse unordered data
Peter J. Bickel and Ya’acov Ritov
Source: Ann. Appl. Stat. Volume 2, Number 2 (2008), 474-477.
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Permanent link to this document: http://projecteuclid.org/euclid.aoas/1215118520
Digital Object Identifier: doi:10.1214/08-AOAS137B
References
d’Aspremont, A., El Ghaoui, L., Jordan, M. I. and Lanckriet, G. R. G. (2007). A direct formulation for sparse PCA using semidefinite programming. SIAM Rev. 49 434–448.
Bickel, P. J., Ritov, Y. and Tsybakov A. (2008). Hierarchical selection of variables in sparse high-dimensional regression. J. Roy. Statist. Soc. Ser. B. To appear.
Cook, R. D. (2007). Fisher Lecture: Dimension reduction in regression (with discussion). Statist. Sci. 22 1–43.
Johnstone, I. and Lu, A. (2008). Sparse principal component analysis. J. Amer. Statist. Assoc. To appear.
El Karoui, N. (2008). Operator norm consistent estimation of large dimensional sparse covariance matrices. Ann. Statist. To appear.
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