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

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Abstract

We would like to supplement this article with two more points. First, we express our views about the proposed work’s major contributions to the area of sparse functional data classification. Second, we suggest some possible future research directions and discuss ideas of generalizing the method to deal with the problem of multiclass classification for sparse functional data.

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References

  • Delaigle A, Hall P (2012) Achieving near perfect classification for functional data. J R Stat Soc Ser B (Stat Methodol) 74:267–286

    Article  MathSciNet  Google Scholar 

  • James GM (2002) Generalized linear models with functional predictors. J R Stat Soc Ser B (Stat Methodol) 64(3):411–432

    Article  MathSciNet  MATH  Google Scholar 

  • Liu Y, Shen X (2006) Multicategory \(\psi \)-learning. J Am Stat Assoc 101:500–509

    Article  MathSciNet  Google Scholar 

  • Müller HG, Stadtmüller U (2005) Generalized functional linear models. Ann Stat 33(2):774–805

    Article  MATH  Google Scholar 

  • Rao JA (2004) Functional and longitudinal data analysis: perspectives on smoothing. Stat Sin 14:631–647

    Google Scholar 

  • Wu Y, Zhang HH, Liu Y (2010) Robust model-free multiclass probability estimation. J Am Stat Assoc 105(489):424–436

    Article  MathSciNet  Google Scholar 

  • Wu Y, Liu Y (2007) Robust truncated-hinge-loss support vector machines. J Am Stat Assoc 102:974–983

    Article  MATH  Google Scholar 

  • Wu Y, Liu Y (2013) Functional robust support vector machines for sparse and irregular longitudinal data. J Comput Graph Stat 2:379–395

    Article  Google Scholar 

  • Yao F, Müller HG, Wang JL (2005) Functional data analysis for sparse longitudinal data. J Am Stat Assoc 100(470):577–590

    Article  MATH  Google Scholar 

  • Zhao X, Marron JS, Wells MT (2004) The functional data analysis view of longitudinal data. Stat Sin 14:789–808

    MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. 617 North Santa Rita Ave, P.O. Box 210089, Tucson, AZ, 85721, USA

    Hao Helen Zhang

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  1. Hao Helen Zhang
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Corresponding author

Correspondence to Hao Helen Zhang.

Additional information

Zhang’s research is partly supported by National Science Foundation Grant DMS-1418172 and National Natural Science Foundation of China grant NSFC-11571009.

This comment refers to the invited paper available at: doi:10.1007/s11749-015-0470-2.

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Zhang, H.H. Comments on: Probability enhanced effective dimension reduction for classifying sparse functional data. TEST 25, 47–51 (2016). https://doi.org/10.1007/s11749-015-0477-8

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  • DOI: https://doi.org/10.1007/s11749-015-0477-8

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