Discussion of “Multivariate Functional Outlier Detection”, by Mia Hubert, Peter Rousseeuw and Pieter Segaert
نویسندگان
چکیده
منابع مشابه
Discussion of "Multivariate Functional Outlier Detection", by Mia Hubert, Peter Rousseeuw and Pieter Segaert
We present a discussion of [2] — hereafter, HRS15 — that splits into two parts. In the first one, we argue that some structural properties of depth may, in some cases, limit its relevance for outlier detection. We also propose an alternative to bagdistances, which, while still based on depth, does not suffer from the same limitations. In the second part of the discussion, we investigate the pos...
متن کاملDiscussion of “ Multivariate functional outlier detection ” by Mia Hubert , Peter Rousseeuw and Pieter Segaert
Mia Hubert, Peter Rousseeuw and Pieter Segaert (subsequently HRS) are to be praised for having developed a visual and well applicable methodology of treating outliers in functional data. Their principal achievements include a systematics of functional outliers, novel visualizations and a measure of outlyingness (bagdistance), which nicely combines Euclidean distance with location depth. Most im...
متن کاملDiscussion of "multivariate functional outlier detection" by M. Hubert, P. Rousseeuw and P. Segaert
I would like to congratulate M. Hubert, P. Rousseeuw and P. Segaert for this stimulating and useful work on outlier detection methods for multivariate functional data. They define and classify rigorously different types of functional outliers and propose several techniques for detecting them in multivariate functional data. These authors use the notion of data depth and distances derived from t...
متن کاملMultivariate functional outlier detection
Functional data are occurring more and more often in practice, and various statistical techniques have been developed to analyze them. In this paper we consider multivariate functional data, where for each curve and each time point a p-dimensional vector of measurements is observed. For functional data the study of outlier detection has started only recently, and was mostly limited to univariat...
متن کاملRejoinder to 'multivariate functional outlier detection'
First of all we would like to thank the editor, Professor Andrea Cerioli, for inviting us to submit our work and for requesting comments from some esteemed colleagues. We were surprised by the number of invited comments and grateful to their contributing authors, all of whom raised important points and/or offered valuable suggestions. We are happy for the opportunity to rejoin the discussion. R...
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ژورنال
عنوان ژورنال: Statistical Methods & Applications
سال: 2015
ISSN: 1618-2510,1613-981X
DOI: 10.1007/s10260-015-0307-x