Fetching the paper…
Reading the bibliography…
We consider the problem of fitting the parameters of a high-dimensional linear regression model.
S.S. Chen and D.L. Donoho, Examples of basis pursuit , Proceedings of Wavelet Applications in Signal and Image Processing III (San Diego, CA), 1995
1995
Earlier work this paper cites.
R. Tibshirani, Regression shrinkage and selection with the Lasso , J. Royal. Statist. Soc B 58
1996
Earlier work this paper cites.
E. J. Candés and T. Tao, Decoding by linear programming , IEEE Trans. on Inform. Theory 51
2005
Earlier work this paper cites.
D. L. Donoho and J. Tanner, Neighborliness of randomly-projected simplices in high dimensions , Proceedings of the National Academy of Sciences 102
2005
Earlier work this paper cites.
N. Meinshausen and P. Bühlmann, High-dimensional graphs and variable selection with the lasso , Ann. Statist. 34
2006
Earlier work this paper cites.
E. Candés and T. Tao, The Dantzig selector: statistical estimation when p is much larger than n , Annals of Statistics 35
2007
Earlier work this paper cites.
P. J. Bickel, Y. Ritov, and A. B. Tsybakov, Simultaneous analysis of Lasso and Dantzig selector , Annals of Statistics 37
2009
Earlier work this paper cites.
D. L. Donoho, A. Maleki, and A. Montanari, Message Passing Algorithms for Compressed Sensing , Proceedings of the National Academy of Sciences 106
2009
Cited alongside, same era.
M.J. Wainwright, Sharp thresholds for high-dimensional and noisy sparsity recovery using ℓ 1 \ell_{1} -constrained quadratic programming , IEEE Trans. on Inform. Theory 55
2009
Cited alongside, same era.
Alexandre Belloni, Victor Chernozhukov, and Lie Wang, Square-root lasso: pivotal recovery of sparse signals via conic programming , Biometrika 98
2011
Cited alongside, same era.
Peter Bühlmann and Sara van de Geer, Statistics for high-dimensional data , Springer-Verlag, 2011
2011
Cited alongside, same era.
Tingni Sun and Cun-Hui Zhang, Scaled sparse linear regression , Biometrika 99
2012
Later among the works it cites.
R. Vershynin, Introduction to the non-asymptotic analysis of random matrices , Compressed Sensing: Theory and Applications (Y.C. Eldar and G. Kutyniok, eds.), Cambridge University Press, 2012, pp. 210–268
2012
Later among the works it cites.
2013
Closest in time.
Mark Rudelson and Shuheng Zhou, Reconstruction from anisotropic random measurements , IEEE Transactions on Information Theory 59
2013
Closest in time.
Ryan J. Tibshirani, The lasso problem and uniqueness , Electronic Journal of Statistics 7
2013
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2011
Cited alongside, same era.
P. Bühlmann, Statistical significance in high-dimensional linear models , arXiv:1202.1377
2012
Cited alongside, same era.