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Comments on: Probability enhanced effective dimension reduction for classifying sparse functional data

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  • Chong Zhang

    (University of Waterloo)

  • Yufeng Liu

    (University of North Carolina at Chapel Hill
    University of North Carolina at Chapel Hill
    University of North Carolina at Chapel Hill
    University of North Carolina at Chapel Hill)

Abstract

No abstract is available for this item.

Suggested Citation

  • Chong Zhang & Yufeng Liu, 2016. "Comments on: Probability enhanced effective dimension reduction for classifying sparse functional data," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 25(1), pages 44-46, March.
  • Handle: RePEc:spr:testjl:v:25:y:2016:i:1:d:10.1007_s11749-015-0474-y
    DOI: 10.1007/s11749-015-0474-y
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    References listed on IDEAS

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    1. Seung Jun Shin & Yichao Wu & Hao Helen Zhang & Yufeng Liu, 2014. "Probability-enhanced sufficient dimension reduction for binary classification," Biometrics, The International Biometric Society, vol. 70(3), pages 546-555, September.
    2. Shen, Xiaotong & Tseng, George C. & Zhang, Xuegong & Wong, Wing Hung, 2003. "On psi-Learning," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 724-734, January.
    3. Chong Zhang & Yufeng Liu, 2014. "Multicategory angle-based large-margin classification," Biometrika, Biometrika Trust, vol. 101(3), pages 625-640.
    4. Liu, Yufeng & Zhang, Hao Helen & Wu, Yichao, 2011. "Hard or Soft Classification? Large-Margin Unified Machines," Journal of the American Statistical Association, American Statistical Association, vol. 106(493), pages 166-177.
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