Peter Rousseeuw

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Peter J. Rousseeuw
Peter Rousseeuw in 2022
Born (1956-10-13) 13 October 1956 (age 67)
Wilrijk, Belgium
NationalityBelgian
EducationVrije Universiteit Brussel
ETH Zurich
Scientific career
FieldsStatistics
InstitutionsDelft University of Technology
University of Fribourg
University of Antwerp
Renaissance Technologies
KU Leuven
Thesis New Infinitesimal Methods in Robust Statistics  (1981)
Doctoral advisorFrank Hampel
Jean Haezendonck
Doctoral studentsMia Hubert

Peter J. Rousseeuw (born 13 October 1956) is a

ETH in Zurich, which led to a book on influence functions.[1] Later he was professor at the Delft University of Technology, The Netherlands, at the University of Fribourg, Switzerland, and at the University of Antwerp, Belgium. Next he was a senior researcher at Renaissance Technologies. He then returned to Belgium as professor at KU Leuven,[2][3] until becoming emeritus in 2022. His former PhD students include Annick Leroy, Hendrik Lopuhaä, Geert Molenberghs, Christophe Croux, Mia Hubert, Stefan Van Aelst, Tim Verdonck and Jakob Raymaekers.[4]

Research

Rousseeuw has constructed and published many useful techniques.

Least Trimmed Squares
method [7][8][9] and S-estimators[10] for
outliers
in the data.

He also introduced the Minimum Volume Ellipsoid and Minimum Covariance Determinant methods[11][12] for robust scatter matrices. This work led to his book Robust Regression and Outlier Detection with Annick Leroy.

With Leonard Kaufman he coined the term medoid when proposing the k-medoids method[13][14] for cluster analysis, also known as Partitioning Around Medoids (PAM). His silhouette display[15] shows the result of a cluster analysis, and the corresponding silhouette coefficient is often used to select the number of clusters. The work on cluster analysis led to a book titled Finding Groups in Data.[16] Rousseeuw was the original developer of the R package cluster along with Mia Hubert and Anja Struyf.[17]

The Rousseeuw-Croux scale estimator [18] is an efficient alternative to the median absolute deviation (see robust measures of scale).

With Ida Ruts and John Tukey he introduced the bagplot,[19] a bivariate generalization of the

boxplot
.

His more recent work has focused on concepts and algorithms for statistical depth functions in the settings of multivariate, regression[20] and functional data, and on robust principal component analysis.[21] His current research is on visualization of classification[22][23] and cellwise outliers.[24][25]

Recognition

Rousseeuw was elected Member of

ISI highly cited researcher in 2003, and was awarded the Jack Youden Prize (2018) and the Frank Wilcoxon Prize
(2021).

Creation of the Rousseeuw Prize for Statistics

From 2016 onward Peter Rousseeuw worked on creating a new biennial prize, sponsored by him.[27] The goal of the prize is to recognize outstanding statistical innovations with impact on society, and to promote awareness of the important role and intellectual content of statistics and its profound impact on human endeavors. The award amount is 1 million US dollars, similar to the Nobel Prize in other fields. The first award in 2022 went to the topic of Causal Inference in Medicine and Public Health. It was presented by His Majesty King Philippe of Belgium to the laureates James Robins, Andrea Rotnitzky, Thomas Richardson, Miguel Hernán and Eric Tchetgen Tchetgen.

References

  1. ISBN 978-0-471-73577-9
    .
  2. ^ "KU Leuven who's who - Peter Rousseeuw". Ku Leuven. Retrieved 21 December 2015.
  3. ^ a b "ROBUST@Leuven – Departement Wiskunde KU Leuven". Ku Leuven. Retrieved 21 December 2015.
  4. ^ "Peter Rousseeuw". The Mathematics Genealogy Project.
  5. ^ "Peter Rousseeuw". Google Scholar. Retrieved 21 December 2015.
  6. ^ "Peter Rousseeuw". ResearchGate. Retrieved 6 November 2022.
  7. ^
    doi:10.1080/01621459.1984.10477105
    .
  8. S2CID 207113006
    .
  9. ISBN 978-0-471-85233-9
    .
  10. ISBN 978-0-387-96102-6
    .
  11. doi:10.1080/01621459.1990.10474920
    .
  12. doi:10.1080/00401706.1999.10485670
    .
  13. ^ Kaufman, L.; Rousseeuw, P.J. (1987). "Clustering by means of Medoids". Statistical Data Analysis Based on the L1–Norm and Related Methods, edited by Y. Dodge, North-Holland: 405–416. {{cite journal}}: Cite journal requires |journal= (help)
  14. ISBN 978-0-471-87876-6
    .
  15. doi:10.1016/0377-0427(87)90125-7
    .
  16. ISBN 978-0-471-87876-6
    .
  17. ^ cluster: "Finding Groups in Data": Cluster Analysis Extended Rousseeuw et al., 2021-04-17, retrieved 2021-05-27
  18. JSTOR 2291267
    .
  19. doi:10.1080/00031305.1999.10474494
    .
  20. JSTOR 2670155
    .
  21. S2CID 5071469
    .
  22. ISSN 0040-1706
    .
  23. ISSN 1061-8600
    .
  24. ISSN 0040-1706
    .
  25. ISSN 0040-1706
    .
  26. ISBN 978-0-387-94988-8
    .
  27. ^ "The Rousseeuw Prize for Statistics". Rousseeuw Prize. Retrieved 1 November 2022.
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