-
1
-
-
68649086910
-
Simultaneous analysis of lasso and dantzig selector
-
Bickel, P., Ritov, Y. & Tsybakov, A. (2009). Simultaneous analysis of lasso and dantzig selector. Ann. Statist. 37, 1705-1732.
-
(2009)
Ann. Statist.
, vol.37
, pp. 1705-1732
-
-
Bickel, P.1
Ritov, Y.2
Tsybakov, A.3
-
2
-
-
78650073483
-
Joint variable selection of fixed and random effects in linear mixed-effects models
-
Bondell, H. D., Krishna, A. & Gosh, S. K. (2010). Joint variable selection of fixed and random effects in linear mixed-effects models. Biometrics 66, 1069-1077.
-
(2010)
Biometrics
, vol.66
, pp. 1069-1077
-
-
Bondell, H.D.1
Krishna, A.2
Gosh, S.K.3
-
3
-
-
79954997618
-
-
Springer-Verlag, New York, Dordrecht, Heidelberg, London.
-
Bühlmann, P. & van de Geer, S. (2011). Statistics for high-dimensional data: methods theory and applications. Springer-Verlag, New York, Dordrecht, Heidelberg, London.
-
(2011)
Statistics for high-dimensional data: methods theory and applications
-
-
Bühlmann, P.1
van de Geer, S.2
-
4
-
-
50849114939
-
Sparsity oracle inequalities for the lasso. Electron
-
Bunea, F., Tsybakov, A. & Wegkamp, M. (2007). Sparsity oracle inequalities for the lasso. Electron. J. Statist. 1, 169-194.
-
(2007)
J. Statist.
, vol.1
, pp. 169-194
-
-
Bunea, F.1
Tsybakov, A.2
Wegkamp, M.3
-
5
-
-
34548275795
-
The Dantzig selector: statistical estimation when p is much larger than n
-
Candes, E. & Tao, T. (2007). The Dantzig selector: statistical estimation when p is much larger than n. Ann. Statist., 35, 2313-2351.
-
(2007)
Ann. Statist.
, vol.35
, pp. 2313-2351
-
-
Candes, E.1
Tao, T.2
-
7
-
-
3242708140
-
Least angle regression
-
Efron, B., Hastie, T., Johnstone, I. & Tibshirani, R. (2004). Least angle regression. Ann. Statist. 32, 407-499.
-
(2004)
Ann. Statist.
, vol.32
, pp. 407-499
-
-
Efron, B.1
Hastie, T.2
Johnstone, I.3
Tibshirani, R.4
-
8
-
-
77950537175
-
Regularization paths for generalized linear models via coordinate descent
-
Friedman, J., Hastie, T. & Tibshirani, R. (2010). Regularization paths for generalized linear models via coordinate descent. J. Statist. Softw. 33, 1-22.
-
(2010)
J. Statist. Softw.
, vol.33
, pp. 1-22
-
-
Friedman, J.1
Hastie, T.2
Tibshirani, R.3
-
9
-
-
51049121146
-
High-dimensional generalized linear models and the lasso
-
van de Geer, S. (2008). High-dimensional generalized linear models and the lasso. Ann. Statist. 36, 614-645.
-
(2008)
Ann. Statist.
, vol.36
, pp. 614-645
-
-
van de Geer, S.1
-
10
-
-
77955054299
-
On the conditions used to prove oracle results for the lasso
-
van de Geer, S. & Bühlmann, P. (2009). On the conditions used to prove oracle results for the lasso. Electron. J. Stat. 3, 1360-1392.
-
(2009)
Electron. J. Stat.
, vol.3
, pp. 1360-1392
-
-
van de Geer, S.1
Bühlmann, P.2
-
11
-
-
79955754240
-
-
The adaptive and the thresholded lasso for potentially misspecified models. Preprint arXiv:1001.5176v3.
-
van de Geer, S., Bühlmann, P. & Zhou, S. (2010). The adaptive and the thresholded lasso for potentially misspecified models. Preprint arXiv:1001.5176v3.
-
(2010)
-
-
van de Geer, S.1
Bühlmann, P.2
Zhou, S.3
-
12
-
-
31344454903
-
Persistence in high-dimensional linear predictor selection and the virtue of overparametrization
-
Greenshtein, E. & Ritov, Y. (2004). Persistence in high-dimensional linear predictor selection and the virtue of overparametrization. Bernoulli 10, 971-988.
-
(2004)
Bernoulli
, vol.10
, pp. 971-988
-
-
Greenshtein, E.1
Ritov, Y.2
-
13
-
-
51049096710
-
Adaptive lasso for sparse high-dimensional regression models
-
Huang, J., Ma, S. & Zhang, C.-H. (2008). Adaptive lasso for sparse high-dimensional regression models. Statist. Sinica 18, 1603-1618.
-
(2008)
Statist. Sinica
, vol.18
, pp. 1603-1618
-
-
Huang, J.1
Ma, S.2
Zhang, C.-H.3
-
14
-
-
79959368569
-
Fixed and random effects selection in mixed effects models
-
no. doi: 10.1111/j.1541-0420.2010.01463.x.
-
Ibrahim, J. G., Zhu, H., Garcia, R. I. & Guo, R. (2010). Fixed and random effects selection in mixed effects models. Biometrics, no. doi: 10.1111/j.1541-0420.2010.01463.x.
-
(2010)
Biometrics
-
-
Ibrahim, J.G.1
Zhu, H.2
Garcia, R.I.3
Guo, R.4
-
15
-
-
0010778594
-
Random-effects models for longitudinal data
-
Laird, N. M. & Ware, J. H. (1982). Random-effects models for longitudinal data. Biometrics 83, 1014-1022.
-
(1982)
Biometrics
, vol.83
, pp. 1014-1022
-
-
Laird, N.M.1
Ware, J.H.2
-
16
-
-
37849035696
-
The group lasso for logistic regression
-
Meier, L., van de Geer, S. & Bühlmann, P. (2008). The group lasso for logistic regression. J. Roy. Statist. Soc. Ser. B Statist. Methodol. 70, 53-71.
-
(2008)
J. Roy. Statist. Soc. Ser. B Statist. Methodol.
, vol.70
, pp. 53-71
-
-
Meier, L.1
van de Geer, S.2
Bühlmann, P.3
-
17
-
-
33747163541
-
High-dimensional graphs and variable selection with the lasso
-
Meinshausen, N. & Bühlmann, P. (2006). High-dimensional graphs and variable selection with the lasso. Ann. Statist. 34, 1436-1462.
-
(2006)
Ann. Statist.
, vol.34
, pp. 1436-1462
-
-
Meinshausen, N.1
Bühlmann, P.2
-
18
-
-
65349193793
-
Lasso-type recovery of sparse representations for high-dimensional data
-
Meinshausen, N. & Yu, B. (2009). Lasso-type recovery of sparse representations for high-dimensional data. Ann. Statist., 37, 246-270.
-
(2009)
Ann. Statist.
, vol.37
, pp. 246-270
-
-
Meinshausen, N.1
Yu, B.2
-
20
-
-
74049114503
-
p-values for high-dimensional regression
-
Meinshausen, N., Meier, L. & Bühlmann, P. (2009). p-values for high-dimensional regression. J. Amer. Statist. Assoc. 104, 1671-1681.
-
(2009)
J. Amer. Statist. Assoc.
, vol.104
, pp. 1671-1681
-
-
Meinshausen, N.1
Meier, L.2
Bühlmann, P.3
-
21
-
-
77949718272
-
Variable selection for semiparametric mixed models in longitudinal studies
-
Ni, X., Zhang, D. & Zhang, H. H. (2010). Variable selection for semiparametric mixed models in longitudinal studies. Biometrics 66, 79-88.
-
(2010)
Biometrics
, vol.66
, pp. 79-88
-
-
Ni, X.1
Zhang, D.2
Zhang, H.H.3
-
22
-
-
0034215549
-
A new approach to variable selection in least squares problems
-
Osborne, M. R., Presnell, B. & Turlach, B. (2000). A new approach to variable selection in least squares problems. IMA J. Numer. Anal. 20, 389-403.
-
(2000)
IMA J. Numer. Anal.
, vol.20
, pp. 389-403
-
-
Osborne, M.R.1
Presnell, B.2
Turlach, B.3
-
24
-
-
77955057877
-
1-penalization for mixture regression models (with discussion)
-
1-penalization for mixture regression models (with discussion). TEST 19, 209-285.
-
(2010)
TEST
, vol.19
, pp. 209-285
-
-
Städler, N.1
Bühlmann, P.2
van de Geer, S.3
-
26
-
-
46749146509
-
A coordinate gradient descent method for nonsmooth separable minimization
-
Tseng, P. & Yun, S. (2009). A coordinate gradient descent method for nonsmooth separable minimization. Math. Program. 117, 387-423.
-
(2009)
Math. Program.
, vol.117
, pp. 387-423
-
-
Tseng, P.1
Yun, S.2
-
28
-
-
69049091975
-
High-dimensional variable selection
-
Wasserman, L. & Roeder, K. (2009). High-dimensional variable selection. Ann. Statist. 37, 2178-2201.
-
(2009)
Ann. Statist.
, vol.37
, pp. 2178-2201
-
-
Wasserman, L.1
Roeder, K.2
-
29
-
-
84863879353
-
Coordinate descent algorithms for lasso penalized regression
-
Wu, T. & Lange, K. (2008). Coordinate descent algorithms for lasso penalized regression. Ann. Appl. Stat. 2, 224-244.
-
(2008)
Ann. Appl. Stat.
, vol.2
, pp. 224-244
-
-
Wu, T.1
Lange, K.2
-
30
-
-
50949096321
-
The sparsity and bias of the lasso selection in high-dimensional linear regression
-
Zhang, C.-H. & Huang, J. (2008). The sparsity and bias of the lasso selection in high-dimensional linear regression. Ann. Statist. 36, 1567-1594.
-
(2008)
Ann. Statist.
, vol.36
, pp. 1567-1594
-
-
Zhang, C.-H.1
Huang, J.2
-
31
-
-
33845263263
-
On model selection consistency of lasso
-
Zhao, P. & Yu, B. (2006). On model selection consistency of lasso. J. Mach. Learn. Res. 7, 2541-2563.
-
(2006)
J. Mach. Learn. Res.
, vol.7
, pp. 2541-2563
-
-
Zhao, P.1
Yu, B.2
-
32
-
-
33846114377
-
The adaptive lasso and its oracle properties
-
Zou, H. (2006). The adaptive lasso and its oracle properties. J. Amer. Statist. Assoc. 101, 1418-1429.
-
(2006)
J. Amer. Statist. Assoc.
, vol.101
, pp. 1418-1429
-
-
Zou, H.1
-
33
-
-
34548536008
-
On the ''degrees of freedom'' of the lasso
-
Zou, H., Hastie, T. & Tibshirani, R. (2007). On the ''degrees of freedom'' of the lasso. Ann. Statist. 35, 2173-2192.
-
(2007)
Ann. Statist.
, vol.35
, pp. 2173-2192
-
-
Zou, H.1
Hastie, T.2
Tibshirani, R.3
|