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Generalized method of moments / Estimation theory / Statistical theory / Hájek–Le Cam convolution theorem


Submitted to the Statistical Science Supplementary material for a unified framework for high-dimensional analysis of M -estimators with
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Document Date: 2012-12-21 20:16:50


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City

Santos / Springer-Verlag / J. Pauly / Austin / New York / /

Company

SIAM Journal / Lasso / /

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Facility

University of California Berkeley / University of Texas / Massachusetts Institute of Technology / California Institute of Technology / Rice University / University of Pennsylvania / /

IndustryTerm

high-dimensional signal processing problem / /

Organization

California Institute of Technology / University of California / Wharton School / Department of EECS / Department of EECS1 UT Austin / Department of CS / University of Pennsylvania / MIT / UC Berkeley / Department of Statistics / Rice University / Massachusetts Institute of Technology / National Academy of Sciences / Stanford / University of Texas / /

Person

M. Wegkamp / P. J. Bickel / Y. Ritov / H. Huang / E. Greenshtein / F. Bunea / Q. Li / R. G. Baraniuk / V / E. Levina / A. Tsybakov / Martin J. Wainwright / J. B. Brown / /

ProgrammingLanguage

C / /

ProvinceOrState

Texas / Pennsylvania / New York / Massachusetts / /

PublishedMedium

Proceedings of the National Academy of Sciences / Machine Learning / IEEE Transactions on Information Theory / Journal of Machine Learning Research / /

Technology

genomics / Machine Learning / html / MRI / /

URL

www.lsst.org / http /

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