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Discussion of 'multivariate functional outlier detection' by M. Hubert, P. Rousseeuw and P. Segaert

机译:M. Hubert,P。Rousseeuw和P. Segaert对“多元函数离群值检测”的讨论

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摘要

This paper aims at discussing the interesting paper of Hubert et al. (Stat Methods Appl Appear, 2015), where a taxonomy of functional outliers and both numerical and graphical techniques for outlier detection for multivariate functional data are proposed. The reading has been really pleasant and instructive. We contribute to the discussion of the paper by Hubert et al. (2015), by discussing some points related to the extension of depth measures to the multivariate functional framework, by examining the fine line between outlier detection and classification and finally by pointing out some relevant open problems.
机译:本文旨在讨论Hubert等人的有趣论文。 (Stat Methods Appl Appear,2015),其中提出了功能离群的分类法以及用于多变量功能数据的离群检测的数字和图形技术。阅读真的很愉快,很有启发性。我们为Hubert等人对该论文的讨论做出了贡献。 (2015年),通过讨论与深度度量扩展到多元函数框架有关的一些观点,研究异常值检测和分类之间的细线,最后指出一些相关的开放性问题。

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