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Discussion of “The power of monitoring: how to make the most of a contaminated multivariate sample”

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Abstract

In this comment on the discussion paper “The power of monitoring: how to make the most of a contaminated multivariate sample” by A. Cerioli, M. Riani, A. Atkinson and A. Corbellini, we describe how the hard rejection property of the MCD method can be mimicked by an S-estimator with appropriate rho-function. We also point the reader to fast and deterministic algorithms for the MCD, S- and MM-estimators that are specifically suited for monitoring experiments. They were made available a few years ago and successfully used for monitoring in our papers. Finally, the question is raised how monitoring can be applied or extended for increasing numbers of cases, variables and tuning parameters.

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Authors and Affiliations

  1. Department of Mathematics, University of Leuven, Celestijnenlaan 200b, 3001, Louvain, Belgium

    Jakob Raymaekers, Peter J. Rousseeuw & Iwein Vranckx

Authors
  1. Jakob Raymaekers
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  2. Peter J. Rousseeuw
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  3. Iwein Vranckx
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Correspondence to Peter J. Rousseeuw.

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Raymaekers, J., Rousseeuw, P.J. & Vranckx, I. Discussion of “The power of monitoring: how to make the most of a contaminated multivariate sample”. Stat Methods Appl 27, 589–594 (2018). https://doi.org/10.1007/s10260-018-0425-3

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  • DOI: https://doi.org/10.1007/s10260-018-0425-3

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