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A new concept of quantiles for directional data and the angular Mahalanobis depth

Author

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  • Christophe Ley
  • Camille Sabbah
  • Thomas Verdebout

Abstract

No abstract is available for this item.

Suggested Citation

  • Christophe Ley & Camille Sabbah & Thomas Verdebout, 2014. "A new concept of quantiles for directional data and the angular Mahalanobis depth," Working Papers ECARES ECARES 2013-23, ULB -- Universite Libre de Bruxelles.
  • Handle: RePEc:eca:wpaper:2013/143754
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    File URL: https://dipot.ulb.ac.be/dspace/bitstream/2013/143754/3/LSV_Quantile.pdf
    File Function: LSV_Quantile
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    References listed on IDEAS

    as
    1. Marc Hallin & Davy Paindaveine & Miroslav Siman, 2008. "Multivariate quantiles and multiple-output regression quantiles: from L1 optimization to halfspace depth," Working Papers ECARES 2008_042, ULB -- Universite Libre de Bruxelles.
    2. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    3. Robert Serfling, 2002. "Quantile functions for multivariate analysis: approaches and applications," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 56(2), pages 214-232.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Claudio Durastanti, 2016. "Quantitative central limit theorems for Mexican needlet coefficients on circular Poisson fields," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 25(4), pages 651-673, November.

    More about this item

    Keywords

    Bahadur representation; directional statistics; DD- and QQ-Plot; Mahalanobis depth; rotationally symmetric distributions;

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