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16

IJCM
2016

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Stahel-Donoho estimation for high-dimensional data

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Stahel-Donoho estimation for high-dimensional data

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We discuss two recently proposed adaptations of the well-known StahelDonoho estimator of multivariate location and scatter for high-dimensional data. The ﬁrst adaptation adjusts the calculation of the outlyingness of the observations while the second adaptation allows to give separate weights to each of the components of an observation. Both adaptations address the possibility that in higher dimensions most observations can be contaminated in at least one of its components. We then combine the two approaches in a new method and investigate its performance in comparison to the previously proposed methods.

Stefan Van Aelst

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Added	04 Apr 2016
Updated	04 Apr 2016
Type	Journal
Year	2016
Where	IJCM
Authors	Stefan Van Aelst

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