caa a22 4500 606196781 CHVBK 20210128100926.0 cr unu---uuuuu 210128e20150701xx s 000 0 eng 10.1007/s10260-015-0303-1 doi (NATIONALLICENCE)springer-10.1007/s10260-015-0303-1 Discussion of "multivariate functional outlier detection” by M. Hubert, P. Rousseeuw and P. Segaert [Elektronische Daten] [Francesca Ieva, Anna Paganoni] 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. Springer-Verlag Berlin Heidelberg, 2015 Multivariate functional data nationallicence Outlier detection nationallicence Depth measures nationallicence Ieva Francesca ADAMSS Center and Department of Mathematics "F. Enriques”, Università degli Studi di Milano, via Saldini 50, 20133, Milan, Italy aut Paganoni Anna MOX - Department of Mathematics, Politecnico di Milano, via Bonardi 9, 20133, Milan, Italy aut Statistical Methods & Applications Springer Berlin Heidelberg 24/2(2015-07-01), 217-221 1618-2510 24:2<217 2015 24 10260 https://doi.org/10.1007/s10260-015-0303-1 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10260-015-0303-1 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Ieva Francesca ADAMSS Center and Department of Mathematics "F. Enriques”, Università degli Studi di Milano, via Saldini 50, 20133, Milan, Italy aut NATIONALLICENCE 700 1- Paganoni Anna MOX - Department of Mathematics, Politecnico di Milano, via Bonardi 9, 20133, Milan, Italy aut NATIONALLICENCE 773 0- Statistical Methods & Applications Springer Berlin Heidelberg 24/2(2015-07-01), 217-221 1618-2510 24:2<217 2015 24 10260