Skip to main content
Log in

Discussion of “Multivariate functional outlier detection” by Mia Hubert, Peter Rousseeuw and Pieter Segaert

  • Discussion
  • Published:
Statistical Methods & Applications Aims and scope Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Notes

  1. The notion of bagdistance defined by HRS should not be mixed up with the notion of bag distance in data matching, that measures the similarity between strings; see Bartolini et al. (2002).

References

  • Bartolini I, Ciaccia P, Patella M (2002) String matching with metric trees using an approximate distance. String processing and information retrieval. Springer, New York, pp 271–283

    Chapter  Google Scholar 

  • Liu X, Mosler K, Mozharovskyi P (2015) Fast computation of Tukey trimmed regions in dimension \(p>2\). Submitted. arXiv:1412.5122

  • Mosler K, Mozharovskyi P (2014) Fast DD-classification of functional data. Submitted. arXiv:1403.1158

  • Sguera C, Galeano P, Lillo R (2015) Functional outlier detection with a local spatial depth. arXiv:1501.01859

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Karl Mosler.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mosler, K. Discussion of “Multivariate functional outlier detection” by Mia Hubert, Peter Rousseeuw and Pieter Segaert. Stat Methods Appl 24, 203–207 (2015). https://doi.org/10.1007/s10260-015-0304-0

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10260-015-0304-0

Keywords

Navigation