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Generalized Mahalanobis depth in the reproducing kernel Hilbert space

Author

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  • Yonggang Hu

    ()

  • Yong Wang
  • Yi Wu
  • Qiang Li
  • Chenping Hou

Abstract

No abstract is available for this item.

Suggested Citation

  • Yonggang Hu & Yong Wang & Yi Wu & Qiang Li & Chenping Hou, 2011. "Generalized Mahalanobis depth in the reproducing kernel Hilbert space," Statistical Papers, Springer, vol. 52(3), pages 511-522, August.
  • Handle: RePEc:spr:stpapr:v:52:y:2011:i:3:p:511-522
    DOI: 10.1007/s00362-009-0265-1
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    References listed on IDEAS

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    1. J├Ârnsten, Rebecka, 2004. "Clustering and classification based on the L1 data depth," Journal of Multivariate Analysis, Elsevier, vol. 90(1), pages 67-89, July.
    2. Gao, Yonghong, 2003. "Data depth based on spatial rank," Statistics & Probability Letters, Elsevier, vol. 65(3), pages 217-225, November.
    3. Chen, Zhiqiang & E. Tyler, David, 2004. "On the finite sample breakdown points of redescending M-estimates of location," Statistics & Probability Letters, Elsevier, vol. 69(3), pages 233-242, September.
    4. Anil K. Ghosh & Probal Chaudhuri, 2005. "On Maximum Depth and Related Classifiers," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 32(2), pages 327-350.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Mahalanobis depth; Kernel method; Data depth; Statistical depth; 62H05; 62H30;

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    Statistics

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