Threshold variable selection via a L 1 penalty approach
Statistics and its Interface
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sg-nus-scholar.10635-1054342015-01-09T19:24:18Z Threshold variable selection via a L 1 penalty approach Jiang, Q. Xia, Y. STATISTICS & APPLIED PROBABILITY Adaptive lasso Oracle property Smooth threshold AR model Variable selection Statistics and its Interface 4 2 137-148 2014-10-28T05:16:03Z 2014-10-28T05:16:03Z 2011 Article Jiang, Q.,Xia, Y. (2011). Threshold variable selection via a L 1 penalty approach. Statistics and its Interface 4 (2) : 137-148. ScholarBank@NUS Repository. 19387989 http://scholarbank.nus.edu.sg/handle/10635/105434 NOT_IN_WOS Scopus |
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Adaptive lasso Oracle property Smooth threshold AR model Variable selection |
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Adaptive lasso Oracle property Smooth threshold AR model Variable selection Jiang, Q. Xia, Y. Threshold variable selection via a L 1 penalty approach |
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Statistics and its Interface |
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STATISTICS & APPLIED PROBABILITY |
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STATISTICS & APPLIED PROBABILITY Jiang, Q. Xia, Y. |
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Jiang, Q. Xia, Y. |
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Jiang, Q. |
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Threshold variable selection via a L 1 penalty approach |
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Threshold variable selection via a L 1 penalty approach |
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Threshold variable selection via a L 1 penalty approach |
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Threshold variable selection via a L 1 penalty approach |
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Threshold variable selection via a L 1 penalty approach |
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threshold variable selection via a l 1 penalty approach |
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2014 |
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http://scholarbank.nus.edu.sg/handle/10635/105434 |
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