-
2
-
-
68649086910
-
Simultaneous analysis of lasso and dantzig selector
-
MR2533469
-
BICKEL, P. J., RITOV, Y. and TSYBAKOV, A. B. (2009). Simultaneous analysis of Lasso and Dantzig selector. Ann. Statist. 37 1705-1732. MR2533469
-
(2009)
Ann. Statist.
, vol.37
, pp. 1705-1732
-
-
Bickel, P.J.1
Ritov, Y.2
Tsybakov, A.B.3
-
3
-
-
0002632847
-
Measurement error in nonlinear models
-
Chapman & Hall, London. MR1630517
-
CARROLL, R. J., RUPPERT, D. and STEFANSKI, L. A. (1995). Measurement Error in Nonlinear Models. Monographs on Statistics and Applied Probability 63. Chapman & Hall, London. MR1630517
-
(1995)
Monographs on Statistics and Applied Probability
, vol.63
-
-
Carroll, R.J.1
Ruppert, D.2
Stefanski, L.A.3
-
5
-
-
56449092085
-
Efficient projections onto the -1-ball for learning in high dimensions
-
ACM, New York, NY
-
DUCHI, J., SHALEV-SHWARTZ, S., SINGER, Y. and CHANDRA, T. (2008). Efficient projections onto the -1-ball for learning in high dimensions. In International Conference on Machine Learning 272-279. ACM, New York, NY.
-
(2008)
International Conference on Machine Learning
, pp. 272-279
-
-
Duchi, J.1
Shalev-Shwartz, S.2
Singer, Y.3
Chandra, T.4
-
6
-
-
0005455937
-
Multiplicative errors-in-variables models with applications to recent data released by the u.s. Department of energy
-
MR0860499
-
HWANG, J. T. (1986). Multiplicative errors-in-variables models with applications to recent data released by the U.S. Department of Energy. J. Amer. Statist. Assoc. 81 680-688. MR0860499
-
(1986)
J. Amer. Statist. Assoc.
, vol.81
, pp. 680-688
-
-
Hwang, J.T.1
-
7
-
-
0000753820
-
Polynomial regression and estimating functions in the presence of multiplicative measurement error
-
MR1707860
-
ITURRIA, S. J., CARROLL, R. J. and FIRTH, D. (1999). Polynomial regression and estimating functions in the presence of multiplicative measurement error. J. R. Stat. Soc. Ser. B Stat. Methodol. 61 547-561. MR1707860
-
(1999)
J. R. Stat. Soc. Ser. B Stat. Methodol.
, vol.61
, pp. 547-561
-
-
Iturria, S.J.1
Carroll, R.J.2
Firth, D.3
-
10
-
-
33747163541
-
High-dimensional graphs and variable selection with the lasso
-
MR2278363
-
MEINSHAUSEN, N. and BÜHLMANN, P. (2006). High-dimensional graphs and variable selection with the Lasso. Ann. Statist. 34 1436-1462. MR2278363
-
(2006)
Ann. Statist.
, vol.34
, pp. 1436-1462
-
-
Meinshausen, N.1
Bühlmann, P.2
-
11
-
-
65349193793
-
Lasso-Type recovery of sparse representations for highdimensional data
-
MR2488351
-
MEINSHAUSEN, N. andYU, B. (2009). Lasso-Type recovery of sparse representations for highdimensional data. Ann. Statist. 37 246-270. MR2488351
-
(2009)
Ann. Statist.
, vol.37
, pp. 246-270
-
-
Meinshausen, N.1
Yu, B.2
-
12
-
-
84860610470
-
A unified framework for the analysis of regularized m-estimators
-
Curran Associates, Red Hook, NY
-
NEGAHBAN, S., RAVIKUMAR, P.,WAINWRIGHT, M. J. and YU, B. (2009). A unified framework for the analysis of regularized M-estimators. In Advances in Neural Information Processing Systems. Curran Associates, Red Hook, NY.
-
(2009)
Advances in Neural Information Processing Systems
-
-
Negahban, S.1
Ravikumar, P.2
Wainwright, M.J.3
Yu, B.4
-
13
-
-
77956925453
-
Restricted eigenvalue properties for correlated gaussian designs
-
MR2719855
-
RASKUTTI, G.,WAINWRIGHT, M. J. and YU, B. (2010). Restricted eigenvalue properties for correlated Gaussian designs. J. Mach. Learn. Res. 11 2241-2259. MR2719855
-
(2010)
J. Mach. Learn. Res.
, vol.11
, pp. 2241-2259
-
-
Raskutti, G.1
Wainwright, M.J.2
Yu, B.3
-
14
-
-
77957596337
-
Sparse recovery under matrix uncertainty
-
MR2722451
-
ROSENBAUM, M. and TSYBAKOV, A. B. (2010). Sparse recovery under matrix uncertainty. Ann. Statist. 38 2620-2651. MR2722451
-
(2010)
Ann. Statist.
, vol.38
, pp. 2620-2651
-
-
Rosenbaum, M.1
Tsybakov, A.B.2
-
16
-
-
62349119614
-
Sparse permutation invariant covariance estimation
-
MR2417391
-
ROTHMAN, A. J., BICKEL, P. J., LEVINA, E. and ZHU, J. (2008). Sparse permutation invariant covariance estimation. Electron. J. Stat. 2 494-515. MR2417391
-
(2008)
Electron. J. Stat.
, vol.2
, pp. 494-515
-
-
Rothman, A.J.1
Bickel, P.J.2
Levina, E.3
Zhu, J.4
-
18
-
-
82055169484
-
Missing values: Sparse inverse covariance estimation and an extension to sparse regression
-
STÄDLER, N. and BÜHLMANN, P. (2012). Missing values: Sparse inverse covariance estimation and an extension to sparse regression. Statist. Comput. 22 219-235.
-
(2012)
Statist. Comput.
, vol.22
, pp. 219-235
-
-
Städler, N.1
Bühlmann, P.2
-
19
-
-
0001287271
-
Regression shrinkage and selection via the lasso
-
MR1379242
-
TIBSHIRANI, R. (1996). Regression shrinkage and selection via the Lasso. J. R. Stat. Soc. Ser. B Stat. Methodol. 58 267-288. MR1379242
-
(1996)
J. R. Stat. Soc. Ser. B Stat. Methodol.
, vol.58
, pp. 267-288
-
-
Tibshirani, R.1
-
20
-
-
77955054299
-
On the conditions used to prove oracle results for the lasso
-
MR2576316
-
VAN DE GEER, S. A. and BÜHLMANN, P. (2009). On the conditions used to prove oracle results for the Lasso. Electron. J. Stat. 3 1360-1392. MR2576316
-
(2009)
Electron. J. Stat.
, vol.3
, pp. 1360-1392
-
-
Van De Geer, S.A.1
Bühlmann, P.2
-
21
-
-
33847369049
-
Covariate selection for linear errors-in-variables regression models
-
MR2391878
-
XU, Q. and YOU, J. (2007). Covariate selection for linear errors-in-variables regression models. Comm. Statist. Theory Methods 36 375-386. MR2391878
-
(2007)
Comm. Statist. Theory Methods
, vol.36
, pp. 375-386
-
-
Xu, Q.1
You, J.2
-
22
-
-
77956916683
-
High dimensional inverse covariance matrix estimation via linear programming
-
MR2719856
-
YUAN, M. (2010). High dimensional inverse covariance matrix estimation via linear programming. J. Mach. Learn. Res. 11 2261-2286. MR2719856
-
(2010)
J. Mach. Learn. Res.
, vol.11
, pp. 2261-2286
-
-
Yuan, M.1
-
23
-
-
50949096321
-
The sparsity and bias of the lasso selection in highdimensional linear regression
-
MR2435448
-
ZHANG, C.-H. and HUANG, J. (2008). The sparsity and bias of the LASSO selection in highdimensional linear regression. Ann. Statist. 36 1567-1594. MR2435448
-
(2008)
Ann. Statist.
, vol.36
, pp. 1567-1594
-
-
Zhang, C.-H.1
Huang, J.2
|