-
1
-
-
0016355478
-
A new look at the statistical model identification
-
Hirotsugu Akaike. A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19(6):716-723, 1974.
-
(1974)
IEEE Transactions on Automatic Control
, vol.19
, Issue.6
, pp. 716-723
-
-
Akaike, H.1
-
2
-
-
0028496468
-
Diettrich. Learning boolean concepts in the presence of many irrelevant features
-
Hussein Almuallim and Thomas G. Diettrich. Learning boolean concepts in the presence of many irrelevant features. Artificial Intelligence, 69(1-2):279-305, 1994.
-
(1994)
Artificial Intelligence
, vol.69
, Issue.1-2
, pp. 279-305
-
-
Almuallim, H.1
Thomas, G.2
-
3
-
-
0442312210
-
Regularized wavelet approximations (with discussion)
-
Anestis Antoniadis and Jianqing Fan. Regularized wavelet approximations (with discussion). J. Amer. Statist. Assoc., 96(455):939-967, 2001.
-
(2001)
J. Amer. Statist. Assoc.
, vol.96
, Issue.455
, pp. 939-967
-
-
Antoniadis, A.1
Fan, J.2
-
4
-
-
33645527646
-
Prediction by supervised principal components
-
Eric Bair, Trevor Hastie, Debashis Paul and Robert Tibshirani. Prediction by supervised principal components. J. Amer. Statist. Assoc., 101(473):119-137, 2006.
-
(2006)
J. Amer. Statist. Assoc.
, vol.101
, Issue.473
, pp. 119-137
-
-
Bair, E.1
Hastie, T.2
Paul, D.3
Tibshirani, R.4
-
5
-
-
2942731013
-
Extensions to metric based model selection
-
Yoshua Bengio and Nicolas Chapados. Extensions to metric based model selection. J. Mach. Learn. Res., 3:1209-1227, 2003.
-
(2003)
J. Mach. Learn. Res.
, vol.3
, pp. 1209-1227
-
-
Bengio, Y.1
Chapados, N.2
-
6
-
-
1542365112
-
Dimensionality reduction via sparse support vector machines
-
Jinbo Bi, Kristin P. Bennett, Mark J. Embrechts, Curt M. Breneman and Minghu Song. Dimensionality reduction via sparse support vector machines. J. Mach. Learn. Res. 3:1229-1243, 2003.
-
(2003)
J. Mach. Learn. Res.
, vol.3
, pp. 1229-1243
-
-
Bi, J.1
Bennett, K.P.2
Embrechts, M.J.3
Breneman, C.M.4
Song, M.5
-
7
-
-
68649086910
-
Simultaneous analysis of Lasso and Dantzig selector
-
Peter J. Bickel, Ya'acov Ritov and Alexandre Tsybakov. Simultaneous analysis of Lasso and Dantzig selector. Ann. Statist., 37(4):1705-1732, 2009.
-
(2009)
Ann. Statist.
, vol.37
, Issue.4
, pp. 1705-1732
-
-
Bickel, P.J.1
Ritov, Y.2
Tsybakov, A.3
-
8
-
-
34548275795
-
The Dantzig selector: Statistical estimation when p is much larger than n (with discussion)
-
Emmanuel Candes and Terrence Tao. The Dantzig selector: statistical estimation when p is much larger than n (with discussion). Ann. Statist., 35(6):2313-2404, 2007.
-
(2007)
Ann. Statist.
, vol.35
, Issue.6
, pp. 2313-2404
-
-
Candes, E.1
Tao, T.2
-
10
-
-
0043203327
-
Boldrick. Multiple hypothesis testing in microarray experiments
-
Sandrine Dudoit, Juliet P. Shaffer and Jennifer C. Boldrick. Multiple hypothesis testing in microarray experiments. Statist. Sci., 18:71-103, 2003.
-
(2003)
Statist. Sci.
, vol.18
, pp. 71-103
-
-
Dudoit, S.1
Shaffer, J.P.2
Jennifer, C.3
-
11
-
-
3242708140
-
Least angle regression (with discussion)
-
Bradley Efron, Trevor Hastie, Iain Johnstone and Robert Tibshirani. Least angle regression (with discussion). Ann. Statist, 32: 409-499, 2004.
-
(2004)
Ann. Statist
, vol.32
, pp. 409-499
-
-
Efron, B.1
Hastie, T.2
Johnstone, I.3
Tibshirani, R.4
-
12
-
-
47749152434
-
Microarrays, empirical Bayes and the two-groups model (with discussion)
-
Bradley Efron. Microarrays, empirical Bayes and the two-groups model (with discussion). Statist. Sci., 23:1-47, 2008.
-
(2008)
Statist. Sci.
, vol.23
, pp. 1-47
-
-
Efron, B.1
-
13
-
-
53849089038
-
High dimensional classification using shrunken independence rule
-
Jianqing Fan and Yingying Fan. High dimensional classification using shrunken independence rule. Ann. Statist, 36(6):3605-12637, 2008.
-
(2008)
Ann. Statist
, vol.36
, Issue.6
, pp. 3605-12637
-
-
Fan, J.1
Fan, Y.2
-
14
-
-
1542784498
-
Variable selection via nonconcave penalized likelihood and its oracle properties
-
Jianqing Fan and Runze Li. Variable selection via nonconcave penalized likelihood and its oracle properties. J. Amer. Statist. Assoc., 96:1348-1360, 2001.
-
(2001)
J. Amer. Statist. Assoc.
, vol.96
, pp. 1348-1360
-
-
Fan, J.1
Li, R.2
-
15
-
-
53849086824
-
Sure independence screening for ultra-high dimensional feature space (with discussion)
-
Jianqing Fan and Jinchi Lv. Sure independence screening for ultra-high dimensional feature space (with discussion). J. Roy. Statist. Soe, Ser. B, 70:849-911, 2008.
-
(2008)
J. Roy. Statist. Soe, Ser. B
, vol.70
, pp. 849-911
-
-
Fan, J.1
Lv, J.2
-
16
-
-
24344502730
-
On non-concave penalized likelihood with diverging number of parameters
-
Jianqing Fan and Heng Peng. On non-concave penalized likelihood with diverging number of parameters. Ann. Statist., 32(3):928-961, 2004.
-
(2004)
Ann. Statist.
, vol.32
, Issue.3
, pp. 928-961
-
-
Fan, J.1
Peng, H.2
-
17
-
-
33748041130
-
Statistical analysis of DNA microarray data
-
Jianqing Fan and Yi Ren. Statistical analysis of DNA microarray data. Clinical Cancer Res., 12:4469-4473, 2006.
-
(2006)
Clinical Cancer Res.
, vol.12
, pp. 4469-4473
-
-
Fan, J.1
Ren, Y.2
-
18
-
-
70449391346
-
Sure Independence Screening in Generalized Linear Models with NPDimensionality
-
Jianqing Fan and Rui Song. Sure Independence Screening in Generalized Linear Models with NPDimensionality. Manuscript, 2009.
-
(2009)
Manuscript
-
-
Fan, J.1
Song, R.2
-
19
-
-
0031211090
-
A decision-theoretic generalization of on-line learning and an application to boosting
-
Yoav Freund, and Robert E. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. J. Comput. System Sci., 55(1): 119-139.
-
J. Comput. System Sci.
, vol.55
, Issue.1
, pp. 119-139
-
-
Freund, Y.1
Schapire, R.E.2
-
20
-
-
33745561205
-
An introduction to variable and feature selection
-
Isabelle Guyon and André Elisseeff. An introduction to variable and feature selection. J. Mach. Learn. Res., 3:1157-1182, 2003.
-
(2003)
J. Mach. Learn. Res.
, vol.3
, pp. 1157-1182
-
-
Guyon, I.1
Elisseeff, A.2
-
21
-
-
33745891586
-
-
Isabelle Guyon, Steve Gunn, Masoud Nikravesh and Lofti Zadeh, editors. Springer, New York
-
Isabelle Guyon, Steve Gunn, Masoud Nikravesh and Lofti Zadeh, editors. Feature Extraction, Foundations and Applications. Springer, New York, 2006.
-
(2006)
Feature Extraction, Foundations and Applications.
-
-
-
22
-
-
85065703189
-
Correlation-based feature selection for discrete and numeric class machine learning
-
Stanford, CA
-
Mark A. Hall. Correlation-based feature selection for discrete and numeric class machine learning. In International Conference on Machine Learning, Stanford, CA, pages 359-366, 2000.
-
(2000)
International Conference on Machine Learning
, pp. 359-366
-
-
Hall, M.A.1
-
23
-
-
68849102598
-
Tiling methods for assessing the influence of components in a classifier
-
Peter Hall, D. M. Titterington, and Jing-Hao Xue. Tiling methods for assessing the influence of components in a classifier. J. Roy. Statist. Soe, Ser. B, 71(4):783-803, 2009.
-
(2009)
J. Roy. Statist. Soe, Ser. B
, vol.71
, Issue.4
, pp. 783-803
-
-
Hall, P.1
Titterington, D.M.2
Xue, J.-H.3
-
24
-
-
0003684449
-
-
Springer, New York
-
Trevor Hastie, Robert Tibshirani and Jerome Friedman. The elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer, New York, 2001.
-
(2001)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction.
-
-
Hastie, T.1
Tibshirani, R.2
Friedman, J.3
-
25
-
-
0003157339
-
Robust estimation of location
-
Peter J. Huber. Robust estimation of location. Ann. Math. Statist., 35:73-101, 1964.
-
(1964)
Ann. Math. Statist.
, vol.35
, pp. 73-101
-
-
Huber, P.J.1
-
26
-
-
0034954414
-
Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks
-
Javed Khan, Jun S. Wei, Markus Ringnér, Lao H. Saal, Marc Ladanyi, Frank Westermann, Frank Berthold, Manfred Schwab, Cristina R. Antonescu, Carsten Peterson and Paul S. Meltzer. Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks. Nature Medicine, 7:673-679, 2001.
-
(2001)
Nature Medicine
, vol.7
, pp. 673-679
-
-
Khan, J.1
Wei, J.S.2
Ringnér, M.3
Saal, L.H.4
Ladanyi, M.5
Westermann, F.6
Berthold, F.7
Schwab, M.8
Antonescu, C.R.9
Peterson, C.10
Meltzer, P.S.11
-
27
-
-
0001832882
-
Estimating attributes: Analysis and extension of RELIEF
-
Springer Berlin/Heidelberg
-
Igor Kononenko. Estimating attributes: Analysis and extension of RELIEF. In Machine Learning: ECML-94, Springer Berlin/Heidelberg, 1994.
-
(1994)
Machine Learning: ECML-94
-
-
Kononenko, I.1
-
28
-
-
2142775432
-
Multicategory Support Vector Machines, Theory, and Application to the Classification of Microarray Data and Satellite Radiance Data
-
Yoonkyung Lee, Yi Lin and Grace Wahba. Multicategory Support Vector Machines, Theory, and Application to the Classification of Microarray Data and Satellite Radiance Data. J. Amer. Statist. Assoc., 99(465):67-81, 2004.
-
(2004)
J. Amer. Statist. Assoc.
, vol.99
, Issue.465
, pp. 67-81
-
-
Lee, Y.1
Lin, Y.2
Wahba, G.3
-
30
-
-
15944365213
-
Multicategory Ψ-learning and support vector machine: Computational tools
-
Yufeng Liu, Xiaotong Shen and Hani Doss. Multicategory Ψ-learning and support vector machine: computational tools. J. Computat. Graph. Statist., 14(1):219-236, 2005.
-
(2005)
J. Computat. Graph. Statist.
, vol.14
, Issue.1
, pp. 219-236
-
-
Liu, Y.1
Shen, X.2
Doss, H.3
-
32
-
-
33747163541
-
High dimensional graphs and variable selection with the Lasso
-
Nicolai Meinshausen and Peter Bühlmann. High dimensional graphs and variable selection with the Lasso. The Annals of Statistics, 34(3): 1436-1462, 2006.
-
(2006)
The Annals of Statistics
, vol.34
, Issue.3
, pp. 1436-1462
-
-
Meinshausen, N.1
Bühlmann, P.2
-
33
-
-
33750963337
-
Customized Oligonucleotide Microarray Gene Expression Based Classification of Neuroblastoma Patients Outperforms Current Clinical Risk Stratification
-
André Oberthuer, Frank Berthold, Patrick Warnat, Barbara Hero, Yvonne Kahlert, Rüdiger Spitz, Karen Ernestus, Rainer König, Stefan Haas, Roland Eils, Manfred Schwab, Benedikt Brors, Frank Westermann, Matthias Fischer. Customized Oligonucleotide Microarray Gene Expression Based Classification of Neuroblastoma Patients Outperforms Current Clinical Risk Stratification. Journal of Clinical Oncology, 24:5070-5078, 2006.
-
(2006)
Journal of Clinical Oncology
, vol.24
, pp. 5070-5078
-
-
Oberthuer, A.1
Berthold, F.2
Warnat, P.3
Hero, B.4
Kahlert, Y.5
Spitz, R.6
Ernestus, K.7
König, R.8
Haas, S.9
Eils, R.10
Schwab, M.11
Brors, B.12
Westermann, F.13
Fischer, M.14
-
34
-
-
34547849507
-
1-regularization path algorithm for generalized linear models
-
1-regularization path algorithm for generalized linear models. J. Roy. Statist. Soe Ser. B, 69(4):659-677, 2007.
-
(2007)
J. Roy. Statist. Soe Ser. B
, vol.69
, Issue.4
, pp. 659-677
-
-
Park, M.Y.1
Hastie, T.2
-
35
-
-
51049112528
-
"Pre-conditioning" for feature selection and regression in high-dimensional problems
-
Debashis Paul, Eric Bair, Trevor Hastie and Robert Tibshirani. "Pre-conditioning" for feature selection and regression in high-dimensional problems. Ann. Statist., 36(4): 1595-1618.
-
Ann. Statist.
, vol.36
, Issue.4
, pp. 1595-1618
-
-
Paul, D.1
Bair, E.2
Hastie, T.3
Tibshirani, R.4
-
36
-
-
0000120766
-
Estimating the dimension of a model
-
Gideon Schwarz. Estimating the dimension of a model. Ann. Statist., 6(2):461-464, 1978.
-
(1978)
Ann. Statist.
, vol.6
, Issue.2
, pp. 461-464
-
-
Schwarz, G.1
-
37
-
-
0001287271
-
Regression shrinkage and selection via lasso
-
Robert Tibshirani. Regression shrinkage and selection via lasso. Jour. Roy. Statist. Soc B., 58(1):267-288, 1996.
-
(1996)
Jour. Roy. Statist. Soc B.
, vol.58
, Issue.1
, pp. 267-288
-
-
Tibshirani, R.1
-
38
-
-
2342533421
-
Class prediction by nearest shrunken centroids, with applications to DNA microarrays
-
Robert Tibshirani, Trevor Hastie, Balasubramanian Narasimhan and Gilbert Chu. Class prediction by nearest shrunken centroids, with applications to DNA microarrays. Statist. Sci., 18(1):104-117, 2003.
-
(2003)
Statist. Sci.
, vol.18
, Issue.1
, pp. 104-117
-
-
Tibshirani, R.1
Hastie, T.2
Narasimhan, B.3
Chu, G.4
-
40
-
-
1942451938
-
Feature selection for high-dimensional data: A fast correlation-based filter solution
-
Washington DC, USA
-
Lei Yu and Huan Liu. Feature selection for high-dimensional data: a fast correlation-based filter solution. In International Conference on Machine Learning, pages 856-863, Washington DC, USA, 2003.
-
(2003)
International Conference on Machine Learning
, pp. 856-863
-
-
Yu, L.1
Liu, H.2
-
41
-
-
33846114377
-
The adaptive Lasso and its oracle properties
-
Hui Zou. The adaptive Lasso and its oracle properties. J. Amer. Statist. Assoc., 101(476): 1418-1429, 2006.
-
(2006)
J. Amer. Statist. Assoc.
, vol.101
, Issue.476
, pp. 1418-1429
-
-
Zou, H.1
-
42
-
-
70449383414
-
Nearly unbiased variable selection under minimax concave penalty
-
forthcoming
-
Cun-Hui Zhang. Nearly unbiased variable selection under minimax concave penalty. Ann. Statist., forthcoming.
-
Ann. Statist.
-
-
Zhang, C.-H.1
-
43
-
-
50949096321
-
The sparsity and bias of the LASSO selection in high-dimensional linear regression
-
Cun-Hui Zhang and Jian Huang. The sparsity and bias of the LASSO selection in high-dimensional linear regression. Ann. Statist., 36(4): 1567-1594.
-
Ann. Statist.
, vol.36
, Issue.4
, pp. 1567-1594
-
-
Zhang, C.-H.1
Huang, J.2
-
45
-
-
33845263263
-
On model selection consistency of Lasso
-
Peng Zhao and Bin Yu. On model selection consistency of Lasso.J. Machine Learning Res., 7:2541-2563, 2006.
-
(2006)
J. Machine Learning Res.
, vol.7
, pp. 2541-2563
-
-
Zhao, P.1
Yu, B.2
-
46
-
-
51049104549
-
One-step sparse estimates in nonconcave penalized likelihood models (with discussion)
-
Hui Zou and Runze Li. One-step sparse estimates in nonconcave penalized likelihood models (with discussion). Ann. Statist., 36(4): 1509-1566, 2008.
-
(2008)
Ann. Statist.
, vol.36
, Issue.4
, pp. 1509-1566
-
-
Zou, H.1
Li, R.2
|