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.

Fig. 1
Fig. 2

References

  • Claeskens G, Hubert M, Slaets L, Vakili K (2014) Multivariate functional halfspace depth. J Am Stat Assoc 109(505):411–423

    Article  MathSciNet  Google Scholar 

  • Genton MG, Johnson C, Potter K, Stenchikov G, Sun Y (2014) Surface boxplots. Stat 3:1–11

    Article  Google Scholar 

  • Hyndman R, Shang H (2010) Rainbow plots, bagplots, and boxplots for functional data. J Comput Graph Stat 19(1):29–45

    Article  MathSciNet  Google Scholar 

  • Liu R (1990) On a notion of data depth based on random simplices. Ann Stat 18(1):405–414

    Article  MATH  Google Scholar 

  • López-Pintado S, Romo J (2009) On the concept of depth for functional data. J Am Stat Assoc 104:718–734

    Article  Google Scholar 

  • López-Pintado S, Sun Y, Lin JK, Genton MG (2014) Simplicial band depth for multivariate functional data. Adv Data Anal Classif 8:321–338

    Article  MathSciNet  Google Scholar 

  • Mosler K (2013) Depth statistics. In: Becker C, Fried R, Kuhnt S (eds) Robustness and complex data structures. Festschrift in honour of Ursula Gather. Springer, Berlin, pp 17–34

    Chapter  Google Scholar 

  • Sun Y, Genton MG (2011) Functional boxplots. J Comput Graph Stat 20:316–334

    Article  MathSciNet  Google Scholar 

  • Sun Y, Genton MG (2012) Adjusted functional boxplots for spatio-temporal data visualization and outlier detection. Environmetrics 23:54–64

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Marc G. Genton.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yan, Y., Genton, M.G. Discussion of “Multivariate functional outlier detection” by Mia Hubert, Peter Rousseeuw and Pieter Segaert. Stat Methods Appl 24, 245–251 (2015). https://doi.org/10.1007/s10260-015-0321-z

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10260-015-0321-z

Keywords

Navigation