-
1
-
-
0000937686
-
Tests for linear trends in proportions and frequencies
-
Armitage, P. (1955) Tests for linear trends in proportions and frequencies. Biometrics, 11 (3), 375-386.
-
(1955)
Biometrics
, vol.11
, Issue.3
, pp. 375-386
-
-
Armitage, P.1
-
3
-
-
77955148645
-
Consistent selection via the Lasso for high dimensional approximating regression models
-
Bunea, F. (2008) Consistent selection via the Lasso for high dimensional approximating regression models. The IMS Collections 3 122-137.
-
(2008)
The IMS Collections
, vol.3
, pp. 122-137
-
-
Bunea, F.1
-
4
-
-
38049043619
-
Aggregation for Gaussian regression
-
Bunea, F., Tsybakov, A. B. And Wegkamp, M. H. (2007) Aggregation for Gaussian regression. The Annals of Statistics 35 (4), 1674-1697.
-
(2007)
The Annals of Statistics
, vol.35
, Issue.4
, pp. 1674-1697
-
-
Bunea, F.1
Tsybakov, A.B.2
Wegkamp, M.H.3
-
5
-
-
50849114939
-
Sparsity oracle inequalities for the Lasso
-
Bunea, F., Tsybakov, A. B. And Wegkamp, M. H. (2007). Sparsity oracle inequalities for the Lasso. The Electronic Journal of Statistics 1, 169-194.
-
(2007)
The Electronic Journal of Statistics
, vol.1
, pp. 169-194
-
-
Bunea, F.1
Tsybakov, A.B.2
Wegkamp, M.H.3
-
8
-
-
33144483155
-
Stable recovery of sparse overcomplete representations in the presence of noise
-
Donoho, D. L., Elad, M. And Temlyakov, V. N. (2006) Stable recovery of sparse overcomplete representations in the presence of noise. IEEE Trans. Inform. Theory 52(1), 6-18.
-
(2006)
IEEE Trans. Inform. Theory
, vol.52
, Issue.1
, pp. 6-18
-
-
Donoho, D.L.1
Elad, M.2
Temlyakov, V.N.3
-
9
-
-
1542784498
-
Variable selection via nonconcave penalized likelihood and its oracle properties
-
Fan, J. And Li, R. (2001) Variable selection via nonconcave penalized likelihood and its oracle properties. Journal of the American Statistical Association 96(456), 1348-1360.
-
(2001)
Journal of the American Statistical Association
, vol.96
, Issue.456
, pp. 1348-1360
-
-
Fan, J.1
Li, R.2
-
10
-
-
33845612972
-
Best subset selection, persistence in high-dimensional statistical learning and optimization under constraint
-
Greenshtein, E. (2006) Best subset selection, persistence in high-dimensional statistical learning and optimization under constraint. The Annals of Statististics 34(5), 2367-2386.
-
(2006)
The Annals of Statististics
, vol.34
, Issue.5
, pp. 2367-2386
-
-
Greenshtein, E.1
-
12
-
-
56449113372
-
Sup-norm convergence rate and sign concentration property of Lasso and Dantzig estimators
-
Lounici, K. (2008) Sup-norm convergence rate and sign concentration property of Lasso and Dantzig estimators. The Electronic Journal of Statistics 2, 90-102.
-
(2008)
The Electronic Journal of Statistics
, vol.2
, pp. 90-102
-
-
Lounici, K.1
-
13
-
-
33747163541
-
High-dimensional graphs and variable selection with the Lasso
-
Meinshausen, N. And Bühlmann, P. (2006). High-dimensional graphs and variable selection with the Lasso. The Annals of Statistics 34 (3), 1436-1462.
-
(2006)
The Annals of Statistics
, vol.34
, Issue.3
, pp. 1436-1462
-
-
Meinshausen, N.1
Bühlmann, P.2
-
15
-
-
23044520947
-
On the lasso and its dual
-
Osborne, M.R., Presnell, B. And Turlach, B.A (2000a). On the lasso and its dual. Journal of Computational and Graphical Statistics 9, 319-337.
-
(2000)
Journal of Computational and Graphical Statistics
, vol.9
, pp. 319-337
-
-
Osborne, M.R.1
Presnell, B.2
Turlach, B.A.3
-
16
-
-
0034215549
-
A new approach to variable selection in least squares problems
-
Osborne, M.R., Presnell, B. And Turlach, B.A (2000b). A new approach to variable selection in least squares problems. IMA Journal of Numerical Analysis 20(3), 389-404.
-
(2000)
IMA Journal of Numerical Analysis
, vol.20
, Issue.3
, pp. 389-404
-
-
Osborne, M.R.1
Presnell, B.2
Turlach, B.A.3
-
17
-
-
84858784162
-
-
Technical Report, UC Berkeley, Dept of Statistics
-
Ravikumar, P., Wainwright, M. J. And Lafferty, J. (2008) High-dimensional graphical model selection using-regularized logistic regression. Technical Report, UC Berkeley, Dept of Statistics.
-
(2008)
High-dimensional graphical model selection using-regularized logistic regression
-
-
Ravikumar, P.1
Wainwright, M.J.2
Lafferty, J.3
-
18
-
-
34547483052
-
How to compare different loss functions and their risks
-
Steinwart, I. (2007) How to compare different loss functions and their risks. Constructive Approximation 26, 225-287.
-
(2007)
Constructive Approximation
, vol.26
, pp. 225-287
-
-
Steinwart, I.1
-
19
-
-
51049121146
-
High-dimensional generalized linear models and the Lasso
-
van de Geer, S. (2008) High-dimensional generalized linear models and the Lasso. The Annals of Statistics 36 (2), 614-645.
-
(2008)
The Annals of Statistics
, vol.36
, Issue.2
, pp. 614-645
-
-
Van De Geer, S.1
-
26
-
-
66349111215
-
Lasso type classifiers with a reject option
-
Wegkamp, M. H. (2007) Lasso type classifiers with a reject option. Electronic Journal of Statistics 1, 155-168.
-
(2007)
Electronic Journal of Statistics
, vol.1
, pp. 155-168
-
-
Wegkamp, M.H.1
|