-
1
-
-
84874257732
-
Better subset regression using the nonnegative garrote
-
Breiman L. Better subset regression using the nonnegative garrote. Technometrics 37 (1995) 373-384
-
(1995)
Technometrics
, vol.37
, pp. 373-384
-
-
Breiman, L.1
-
3
-
-
1542784498
-
Variable selection via penalized likelihood
-
Fan J., and Li R. Variable selection via penalized likelihood. J. Amer. Statist. Assoc. 96 (2001) 1348-1360
-
(2001)
J. Amer. Statist. Assoc.
, vol.96
, pp. 1348-1360
-
-
Fan, J.1
Li, R.2
-
4
-
-
24344502730
-
Nonconcave penalized likelihood with a diverging number of parameters
-
Fan J., and Peng H. Nonconcave penalized likelihood with a diverging number of parameters. Ann. Statist. 32 (2004) 928-961
-
(2004)
Ann. Statist.
, vol.32
, pp. 928-961
-
-
Fan, J.1
Peng, H.2
-
5
-
-
84952149204
-
A statistical view of some chemometrics regression tools (with discussion)
-
Frank I., and Friedman J. A statistical view of some chemometrics regression tools (with discussion). Technometrics 35 (1993) 109-148
-
(1993)
Technometrics
, vol.35
, pp. 109-148
-
-
Frank, I.1
Friedman, J.2
-
6
-
-
0001033261
-
Robust regression: asymptotics, conjectures, and Monte Carlo
-
Huber P. Robust regression: asymptotics, conjectures, and Monte Carlo. Ann. Statist. 1 (1973) 799-821
-
(1973)
Ann. Statist.
, vol.1
, pp. 799-821
-
-
Huber, P.1
-
7
-
-
0034287156
-
Asymptotics for lasso-type estimators
-
Knight K., and Fu W. Asymptotics for lasso-type estimators. Ann. Statist. 28 (2000) 1356-1378
-
(2000)
Ann. Statist.
, vol.28
, pp. 1356-1378
-
-
Knight, K.1
Fu, W.2
-
9
-
-
33747163541
-
High dimensional graphs and variable selection with the lasso
-
Meinshausen N., and Bühlmann P. High dimensional graphs and variable selection with the lasso. Ann. Statist. 34 (2006) 1436-1462
-
(2006)
Ann. Statist.
, vol.34
, pp. 1436-1462
-
-
Meinshausen, N.1
Bühlmann, P.2
-
11
-
-
0001287271
-
Regression shrinkage and selection via the lasso
-
Tibshirani R. Regression shrinkage and selection via the lasso. J. Roy. Statist. Soc. Ser. B 58 (1996) 267-288
-
(1996)
J. Roy. Statist. Soc. Ser. B
, vol.58
, pp. 267-288
-
-
Tibshirani, R.1
-
12
-
-
23744505130
-
Square root penalty: adaptation to the margin in classification and in edge estimation
-
Tsybakov A., and van de Geer S. Square root penalty: adaptation to the margin in classification and in edge estimation. Ann. Statist. 33 (2005) 1203-1224
-
(2005)
Ann. Statist.
, vol.33
, pp. 1203-1224
-
-
Tsybakov, A.1
van de Geer, S.2
-
13
-
-
33747357771
-
High dimensional data: p ≫ n in mathematical statistics and bio-medical applications
-
van de Geer S., and van Houwelingen H. High dimensional data: p ≫ n in mathematical statistics and bio-medical applications. Bernoulli 10 (2004) 939-943
-
(2004)
Bernoulli
, vol.10
, pp. 939-943
-
-
van de Geer, S.1
van Houwelingen, H.2
-
14
-
-
34548232960
-
-
Zhao, P., Yu, B., 2004. Boosted lasso. Technical Report 678, University of California, Berkeley.
-
-
-
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