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Journal of Computational and Graphical Statistics Volume 23, 2014 - Issue 2
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Original Articles

Tilted Correlation Screening Learning in High-Dimensional Data Analysis

Bingqing Lin
&
Zhen Pang
Pages 478-496 | Received 01 Sep 2012, Published online: 28 Apr 2014

Citations (8)

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Read on this site (1)

Chun-Xia Zhang, Jiang-She Zhang, Guan-Wei Wang & Nan-Nan Ji. (2018) A novel bagging approach for variable ranking and selection via a mixed importance measure. Journal of Applied Statistics 45:10, pages 1734-1755.
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Articles from other publishers (7)

Run Wang, Somak Dutta & Vivekananda Roy. (2020) A note on marginal correlation based screening. Statistical Analysis and Data Mining: The ASA Data Science Journal 14:1, pages 88-92.
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Chunxia Zhang, Yilei Wu & Mu Zhu. (2019) Pruning variable selection ensembles. Statistical Analysis and Data Mining: The ASA Data Science Journal 12:3, pages 168-184.
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Bingqing Lin, Zhen Pang & Qihua Wang. (2018) Cluster feature selection in high-dimensional linear models. Random Matrices: Theory and Applications 07:01, pages 1750015.
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Jun-Li Li & Chun-Xia Zhang. (2017) Ensembling variable selectors by stability selection for the Cox model. Ensembling variable selectors by stability selection for the Cox model.
Chun-Xia Zhang, Jiang-She Zhang & Qing-Yan Yin. (2017) A ranking-based strategy to prune variable selection ensembles. Knowledge-Based Systems 125, pages 13-25.
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Qing-Yan Yin, Jun-Li Li & Chun-Xia Zhang. (2017) Ensembling Variable Selectors by Stability Selection for the Cox Model. Computational Intelligence and Neuroscience 2017, pages 1-10.
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Chun-Xia Zhang, Nan-Nan Ji & Guan-Wei Wang. (2016) Randomizing outputs to increase variable selection accuracy. Neurocomputing 218, pages 91-102.
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