-
1
-
-
14944365889
-
False discovery rate-adjusted multiple confidence intervals for selected parameters
-
Yoav Benjamini and Daniel Yekutieli. False discovery rate-adjusted multiple confidence intervals for selected parameters. Journal of the American Statistical Association, 100(469):71-81, 2005.
-
(2005)
Journal of the American Statistical Association
, vol.100
, Issue.469
, pp. 71-81
-
-
Benjamini, Y.1
Yekutieli, D.2
-
2
-
-
84879164483
-
Valid post-selection inference
-
Richard Berk, Lawrence Brown, Andreas Buja, Kai Zhang, and Linda Zhao. Valid post-selection inference. Annals of Statistics, 41(2):802-837, 2013.
-
(2013)
Annals of Statistics
, vol.41
, Issue.2
, pp. 802-837
-
-
Berk, R.1
Brown, L.2
Buja, A.3
Zhang, K.4
Zhao, L.5
-
3
-
-
84895791592
-
High-dimensional statistics with a view toward applications in biology
-
Peter Bühlmann, Markus Kalisch, and Lukas Meier. High-dimensional statistics with a view toward applications in biology. Statistics, 1, 2014.
-
(2014)
Statistics
, vol.1
-
-
Bühlmann, P.1
Kalisch, M.2
Meier, L.3
-
6
-
-
3242708140
-
Least angle regression
-
Bradley Efron, Trevor Hastie, Iain Johnstone, and Robert Tibshirani. Least angle regression. The Annals of statistics, 32(2):407-499, 2004.
-
(2004)
The Annals of Statistics
, vol.32
, Issue.2
, pp. 407-499
-
-
Efron, B.1
Hastie, T.2
Johnstone, I.3
Tibshirani, R.4
-
8
-
-
84864959435
-
A comparison of the lasso and marginal regression
-
98888
-
Christopher R Genovese, Jiashun Jin, Larry Wasserman, and Zhigang Yao. A comparison of the lasso and marginal regression. The Journal of Machine Learning Research, 98888:2107-2143, 2012.
-
(2012)
The Journal of Machine Learning Research
, pp. 2107-2143
-
-
Genovese, C.R.1
Jin, J.2
Wasserman, L.3
Yao, Z.4
-
11
-
-
84919822043
-
On model selection consistency of penalized m-estimators: A geometric theory
-
Jason Lee, Yuekai Sun, and Jonathan E Taylor. On model selection consistency of penalized m-estimators: a geometric theory. In Advances in Neural Information Processing Systems, pages 342-350, 2013.
-
(2013)
Advances in Neural Information Processing Systems
, pp. 342-350
-
-
Lee, J.1
Sun, Y.2
Taylor, J.E.3
-
13
-
-
0037706986
-
The finite-sample distribution of post-model-selection estimators and uniform versus nonuniform approximations
-
Hannes Leeb and Benedikt M Pötscher. The finite-sample distribution of post-model-selection estimators and uniform versus nonuniform approximations. Econometric Theory, 19(1):100-142, 2003.
-
(2003)
Econometric Theory
, vol.19
, Issue.1
, pp. 100-142
-
-
Leeb, H.1
Pötscher, B.M.2
-
14
-
-
15744376883
-
Model selection and inference: Facts and fiction
-
Hannes Leeb and Benedikt M Pötscher. Model selection and inference: Facts and fiction. Econometric Theory, 21(1):21-59, 2005.
-
(2005)
Econometric Theory
, vol.21
, Issue.1
, pp. 21-59
-
-
Leeb, H.1
Pötscher, B.M.2
-
15
-
-
33847415033
-
Can one estimate the conditional distribution of post-model-selection estimators?
-
Hannes Leeb and Benedikt M Pötscher. Can one estimate the conditional distribution of post-model-selection estimators? The Annals of Statistics, pages 2554-2591, 2006.
-
(2006)
The Annals of Statistics
, pp. 2554-2591
-
-
Leeb, H.1
Pötscher, B.M.2
-
19
-
-
84871600478
-
A unified framework for high-dimensional analysis of m-estimators with decomposable regularizers
-
Sahand N Negahban, Pradeep Ravikumar, Martin J Wainwright, and Bin Yu. A unified framework for high-dimensional analysis of m-estimators with decomposable regularizers. Statistical Science, 27(4):538-557, 2012.
-
(2012)
Statistical Science
, vol.27
, Issue.4
, pp. 538-557
-
-
Negahban, S.N.1
Ravikumar, P.2
Wainwright, M.J.3
Yu, B.4
-
21
-
-
0035942271
-
Significance analysis of microarrays applied to the ionizing radiation response
-
Virginia Goss Tusher, Robert Tibshirani, and Gilbert Chu. Significance analysis of microarrays applied to the ionizing radiation response. Proceedings of the National Academy of Sciences, 98(9):5116-5121, 2001.
-
(2001)
Proceedings of the National Academy of Sciences
, vol.98
, Issue.9
, pp. 5116-5121
-
-
Tusher, V.G.1
Tibshirani, R.2
Chu, G.3
-
24
-
-
69049091975
-
High dimensional variable selection
-
Larry Wasserman and Kathryn Roeder. High dimensional variable selection. Annals of statistics, 37(5A):2178, 2009.
-
(2009)
Annals of Statistics
, vol.37
, Issue.5 A
, pp. 2178
-
-
Wasserman, L.1
Roeder, K.2
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