Mia Hubert is a Belgian mathematical statistician known for her research on topics in robust statistics including medoid-based clustering,[a] regression depth,[b] the medcouple for robustly measuring skewness,[c] box plots for skewed data,[f] and robust principal component analysis,[d] and for her implementations of robust statistical algorithms in the R statistical software system, MATLAB,[e] and S-PLUS.[a] She is a professor in the statistics and data science section of the department of mathematics at KU Leuven.[1]
Education and career
editHubert earned a diploma in mathematics in 1992 from the University of Antwerp,[2] and obtained her Ph.D. in 1997 at the same university. Her dissertation, Robust Regression for Data Analysis, was supervised by Peter Rousseeuw.[3] She joined the KU Leuven faculty in 2001.[2]
She was the original developer of the R package cluster along with Peter Rousseeuw and Anja Struyf.[4]
Recognition
editHubert became an Elected Member of the International Statistical Institute in 2013.[2][5]
Selected publications
edita. | Struyf, Anja; Hubert, Mia; Rousseeuw, Peter (1997), "Clustering in an object-oriented environment", Journal of Statistical Software, 1 (4): 1–30
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e. | Verboven, Sabine; Hubert, Mia (2005), "LIBRA: a MATLAB library for robust analysis", Chemometrics and Intelligent Laboratory Systems, 75 (2), Elsevier {BV}: 127–136, doi:10.1016/j.chemolab.2004.06.003
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f. | Hubert, Mia; Vandervieren, Ellen (2008), "An adjusted boxplot for skewed distributions", Computational Statistics & Data Analysis, 52 (12): 5186–5201, doi:10.1016/j.csda.2007.11.008, MR 2526585
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References
edit- ^ "Mia Hubert", KU Leuven Who's Who, KU Leuven, retrieved 2019-12-14
- ^ a b c Curriculum vitae (PDF), March 21, 2017, retrieved 2019-12-14
- ^ Mia Hubert at the Mathematics Genealogy Project
- ^ cluster: "Finding Groups in Data": Cluster Analysis Extended Rousseeuw et al., 2021-04-17, retrieved 2021-05-27
- ^ Individual members, International Statistical Institute, retrieved 2019-12-14
External links
edit- Mia Hubert publications indexed by Google Scholar
- Cluster R package