-
1
-
-
33645527646
-
Prediction by supervised principal components
-
MR2252436
-
BAIR, E., HASTIE, T., PAUL, D. and TIBSHIRANI, R. (2006). Prediction by supervised principal components. J. Amer. Statist. Assoc. 101 119-137. MR2252436
-
(2006)
J. Amer. Statist. Assoc
, vol.101
, pp. 119-137
-
-
BAIR, E.1
HASTIE, T.2
PAUL, D.3
TIBSHIRANI, R.4
-
2
-
-
19344375744
-
Semi-supervised methods to predict patient survival from gene expression data
-
BAIR, E. and TIBSHIRANI, R. (2004). Semi-supervised methods to predict patient survival from gene expression data. PLOS Biology 2 511-522.
-
(2004)
PLOS Biology
, vol.2
, pp. 511-522
-
-
BAIR, E.1
TIBSHIRANI, R.2
-
3
-
-
51049095271
-
-
1-norm solution is the sparsest solution. Technical report, Stanford Univ.
-
1-norm solution is the sparsest solution. Technical report, Stanford Univ.
-
-
-
-
5
-
-
3242708140
-
Least angle regression (with discussion)
-
MR2060166
-
EFRON, B., HASTIE, T., JOHNSTONE, I. and TIBSHIRANI, R. (2004). Least angle regression (with discussion). Ann. Statist. 32 407-499. MR2060166
-
(2004)
Ann. Statist
, vol.32
, pp. 407-499
-
-
EFRON, B.1
HASTIE, T.2
JOHNSTONE, I.3
TIBSHIRANI, R.4
-
6
-
-
1542784498
-
Variable selection via nonconcave penalized likelihood, and its oracle properties
-
MR1946581
-
FAN, J. and LI, R. (2005). Variable selection via nonconcave penalized likelihood, and its oracle properties. J. Amer. Statist. Assoc. 96 1348-1360. MR1946581
-
(2005)
J. Amer. Statist. Assoc
, vol.96
, pp. 1348-1360
-
-
FAN, J.1
LI, R.2
-
7
-
-
24344502730
-
Nonconcave penalized, likelihood with a diverging number of parameters
-
MR2065194
-
FAN, J. and PENG, H. (2004). Nonconcave penalized, likelihood with a diverging number of parameters. Ann. Statist. 32 928-961. MR2065194
-
(2004)
Ann. Statist
, vol.32
, pp. 928-961
-
-
FAN, J.1
PENG, H.2
-
8
-
-
85088938629
-
-
KALBFLEISCH, J. and PRENTICE, R. (1980). The Statistical Analysis of Failure Time Data. Wiley, New York. MR0570114
-
KALBFLEISCH, J. and PRENTICE, R. (1980). The Statistical Analysis of Failure Time Data. Wiley, New York. MR0570114
-
-
-
-
9
-
-
0034287156
-
Asymptotics for lasso-type estimators
-
MR1805787
-
KNIGHT, K. and FU, W. (2000). Asymptotics for lasso-type estimators. Ann. Statist. 28 1356-1378. MR1805787
-
(2000)
Ann. Statist
, vol.28
, pp. 1356-1378
-
-
KNIGHT, K.1
FU, W.2
-
10
-
-
51049106110
-
Lasso with relaxation
-
ETH Zürich
-
MEINSHAUSEN, M. (2005). Lasso with relaxation. Research Report 129, ETH Zürich.
-
(2005)
Research Report
, vol.129
-
-
MEINSHAUSEN, M.1
-
11
-
-
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
-
13
-
-
34247332440
-
Anil regularization-path algorithm, for generalized linear models
-
Unpublished manuscript
-
PARK, M. Y. and HASTIE, T. (2006). Anil regularization-path algorithm, for generalized linear models. Unpublished manuscript.
-
(2006)
-
-
PARK, M.Y.1
HASTIE, T.2
-
15
-
-
0036489055
-
Adaptive model selection
-
MR1947281
-
SHEN, X. and YE, J. (2002). Adaptive model selection. J. Amer. Statist. Assoc. 97 210-221. MR1947281
-
(2002)
J. Amer. Statist. Assoc
, vol.97
, pp. 210-221
-
-
SHEN, X.1
YE, J.2
-
16
-
-
0001287271
-
Regression shrinkage and selection via the lasso
-
MR1379242
-
TIBSHIRANI, R. (1996). Regression shrinkage and selection via the lasso. J. Roy. Statist. Soc. Ser. B 58 267-288. MR1379242
-
(1996)
J. Roy. Statist. Soc. Ser. B
, vol.58
, pp. 267-288
-
-
TIBSHIRANI, R.1
-
17
-
-
0037076272
-
Diagnosis of multiple cancer types by shrunken centroids of gene expression
-
TIBSHIRANI, R., HASTIE, T., NARASIMHAN, B. and CHU, G. (2001). Diagnosis of multiple cancer types by shrunken centroids of gene expression. Proc. Natl. Acad. Sci. USA 99 6567-6572.
-
(2001)
Proc. Natl. Acad. Sci. USA
, vol.99
, pp. 6567-6572
-
-
TIBSHIRANI, R.1
HASTIE, T.2
NARASIMHAN, B.3
CHU, G.4
-
18
-
-
32144434202
-
Gene expression profiling predicts survival in conventional renal cell carcinoma
-
ZHAO, H., TIBSHIRANI, R. and BROOKS, J. (2005). Gene expression profiling predicts survival in conventional renal cell carcinoma. PloS. Med. 3(1) e13.
-
(2005)
PloS. Med
, vol.3
, Issue.1
-
-
ZHAO, H.1
TIBSHIRANI, R.2
BROOKS, J.3
-
19
-
-
33845263263
-
On model selection consistency of Lasso
-
MR2274449
-
ZHAO, P. and YU, B. (2006). On model selection consistency of Lasso. J. Mach. Learn. Res. 7 2541-2563. MR2274449
-
(2006)
J. Mach. Learn. Res
, vol.7
, pp. 2541-2563
-
-
ZHAO, P.1
YU, B.2
-
20
-
-
33846114377
-
The adaptive lasso and its oracle properties
-
MR2279469
-
ZOU, H. (2005). The adaptive lasso and its oracle properties. J. Amer. Statist. Assoc. 101 1418-1429. MR2279469
-
(2005)
J. Amer. Statist. Assoc
, vol.101
, pp. 1418-1429
-
-
ZOU, H.1
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