-
1
-
-
33746242092
-
Adapting to unknown sparsity by controlling the False Discovery Rate
-
Abramovich, F., Benjamini, Y., Donoho, D.L. and Johnstone, I.M., (2006). Adapting to unknown sparsity by controlling the False Discovery Rate. Annals of Statistics 34(2) 584-653.
-
(2006)
Annals of Statistics
, vol.34
, Issue.2
, pp. 584-653
-
-
Abramovich, F.1
Benjamini, Y.2
Donoho, D.L.3
Johnstone, I.M.4
-
3
-
-
0036997840
-
Model selection for regression on a random design
-
Baraud, Y. (2002). Model selection for regression on a random design. ESAIM Probability & Statistics 7 127-146.
-
(2002)
ESAIM Probability & Statistics
, vol.7
, pp. 127-146
-
-
Baraud, Y.1
-
4
-
-
33645283113
-
Model selection for Gaussian regression with random design
-
Birgé, L. (2004). Model selection for Gaussian regression with random design. Bernoulli 10 1039-1051.
-
(2004)
Bernoulli
, vol.10
, pp. 1039-1051
-
-
Birgé, L.1
-
6
-
-
33746056860
-
1-penalized least squares.
-
Lecture Notes in Artificial Intelligence, Springer-Verlag, Heidelberg
-
1-penalized least squares. Proceedings of 19th Annual Conference on Learning Theory, COLT 2006. Lecture Notes in Artificial Intelligence 4005 379-391. Springer-Verlag, Heidelberg.
-
(2006)
Proceedings of 19Th Annual Conference on Learning Theory, COLT 2006.
, vol.4005
, pp. 379-391
-
-
Bunea, F.1
Tsybakov, A.B.2
Wegkamp, M.H.3
-
9
-
-
0041958932
-
Ideal spatial adaptation by wavelet shrinkage
-
Donoho, D.L. and Johnstone, I.M. (1994). Ideal spatial adaptation by wavelet shrinkage. Biometrika 81 425-455.
-
(1994)
Biometrika
, vol.81
, pp. 425-455
-
-
Donoho, D.L.1
Johnstone, I.M.2
-
10
-
-
3242708140
-
Least angle regression
-
Efron, B., Hastie, T., Johnstone, I. and Tibshirani, R. (2004). Least angle regression. Annals of Statistics 32(2) 407-451.
-
(2004)
Annals of Statistics
, vol.32
, Issue.2
, pp. 407-451
-
-
Efron, B.1
Hastie, T.2
Johnstone, I.3
Tibshirani, R.4
-
11
-
-
0036032635
-
Reconstruction of sparse vectors in white Gaussian noise
-
Golubev, G.K. (2002). Reconstruction of sparse vectors in white Gaussian noise. Problems of Information Transmission 38(1) 65-79.
-
(2002)
Problems of Information Transmission
, vol.38
, Issue.1
, pp. 65-79
-
-
Golubev, G.K.1
-
12
-
-
85035264584
-
Persistency in high dimensional linear predictor-selection and the virtue of over-parametrization
-
Greenshtein, E. and Ritov, Y. (2004). Persistency in high dimensional linear predictor-selection and the virtue of over-parametrization. Bernoulli 10971-988.
-
(2004)
Bernoulli
, pp. 10971-10988
-
-
Greenshtein, E.1
Ritov, Y.2
-
13
-
-
0003624357
-
-
Springer: New York
-
Györfi, L., Kohler, M., Krzyżak, A. and Walk, H. (2002). A Distribution-Free Theory of Nonparametric Regression. Springer: New York.
-
(2002)
A Distribution-Free Theory of Nonparametric Regression
-
-
Györfi, L.1
Kohler, M.2
Krzyżak, A.3
Walk, H.4
-
14
-
-
0034362823
-
Functional aggregation for nonparametric estimation
-
Juditsky, A. and Nemirovski, A. (2000). Functional aggregation for nonparametric estimation. Annals of Statistics 28 681-712.
-
(2000)
Annals of Statistics
, vol.28
, pp. 681-712
-
-
Juditsky, A.1
Nemirovski, A.2
-
15
-
-
84941148060
-
-
Prépublication n.1017, Laboratoire de Probabilités et Modèles Aléatoires, Universités Paris 6 -Paris 7
-
Kerkyacharian, G. and Picard, D. (2005). Tresholding in learning theory. Prépublication n.1017, Laboratoire de Probabilités et Modèles Aléatoires, Universités Paris 6 -Paris 7.
-
(2005)
Tresholding in Learning Theory
-
-
Kerkyacharian, G.1
Picard, D.2
-
16
-
-
0034287156
-
Asymptotics for lasso-type estimators
-
Knight, K. and Fu, W. (2000). Asymptotics for lasso-type estimators. Annals of Statistics 28(5) 1356-1378.
-
(2000)
Annals of Statistics
, vol.28
, Issue.5
, pp. 1356-1378
-
-
Knight, K.1
Fu, W.2
-
19
-
-
38049042863
-
Adaptive estimation in regression, using soft thresholding type penalties
-
Loubes, J.-M. and van de Geer, S.A. (2002). Adaptive estimation in regression, using soft thresholding type penalties. Statistica Neerlandica 56453-478.
-
(2002)
Statistica Neerlandica
, pp. 56453-56478
-
-
Loubes, J.-M.1
Van De Geer, S.A.2
-
20
-
-
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. Annals of Statistics 34 (3) 1436-1462.
-
(2006)
Annals of Statistics
, vol.34
, Issue.3
, pp. 1436-1462
-
-
Meinshausen, N.1
Bühlmann, P.2
-
23
-
-
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
-
26
-
-
39549093750
-
1 constraint.
-
American Statistical Association, Alexandria, VA
-
1 constraint. 2004 Proceedings of the American Statistical Association, Statistical Computing Section [CD-ROM], American Statistical Association, Alexandria, VA, pp. 2572-2577.
-
(2005)
2004 Proceedings of the American Statistical Association, Statistical Computing Section [CD-ROM]
, pp. 2572-2577
-
-
Turlach, B.A.1
|