Discussion: One-step Sparse Estimates in Nonconcave Penalized Likelihood Models: Who Cares if It Is a White cat or a Black cat?

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Discussion: One-step Sparse Estimates in Nonconcave Penalized Likelihood Models: Who Cares if It Is a White cat or a Black cat?

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Title: Discussion: One-step Sparse Estimates in Nonconcave Penalized Likelihood Models: Who Cares if It Is a White cat or a Black cat?
Author: Meng, Xiao-Li
Citation: Meng, Xiao-Li. 2008. Discussion: One-step sparse estimates in nonconcave penalized likelihood models: Who cares if it is a white cat or a black cat? Annals of Statistics 36(4): 1542-1552.
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Published Version: http://dx.doi.org/10.1214/07-AOS0316B
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:2787019

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  • FAS Scholarly Articles [6867]
    Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University
 
 

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