Michiel Debruyne
Michiel Debruyne
Credit Risk Modeling, Dexia
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Minimum covariance determinant
M Hubert, M Debruyne
Wiley interdisciplinary reviews: Computational statistics 2 (1), 36-43, 2010
Minimum covariance determinant and extensions
M Hubert, M Debruyne, PJ Rousseeuw
Wiley Interdisciplinary Reviews: Computational Statistics 10 (3), e1421, 2018
Robustness and outlier detection in chemometrics
PJ Rousseeuw, M Debruyne, S Engelen, M Hubert
Critical reviews in analytical chemistry 36 (3-4), 221-242, 2006
Model selection in kernel based regression using the influence function
M Debruyne, M Hubert, JAK Suykens
Journal of machine learning research.-Cambridge, Mass. 9, 2377-2400, 2008
Robustness of kernel based regression: a comparison of iterative weighting schemes
K De Brabanter, K Pelckmans, J De Brabanter, M Debruyne, JAK Suykens, ...
Artificial Neural Networks–ICANN 2009: 19th International Conference …, 2009
The incidence of multidrug and full class resistance in HIV-1 infected patients is decreasing over time (2001–2006) in Portugal
J Vercauteren, K Deforche, K Theys, M Debruyne, LM Duque, S Peres, ...
Retrovirology 5, 1-8, 2008
Robust kernel principal component analysis and classification
M Debruyne, T Verdonck
Advances in Data Analysis and Classification 4 (2), 151-167, 2010
Detecting influential observations in Kernel PCA
M Debruyne, M Hubert, J Van Horebeek
Computational Statistics & Data Analysis 54 (12), 3007-3019, 2010
An outlier map for support vector machine classification
M Debruyne
The Annals of Applied Statistics, 1566-1580, 2009
Breakdown value
M Hubert, M Debruyne
Wiley Interdisciplinary Reviews: Computational Statistics 1 (3), 296-302, 2009
The influence of individual claims on the chain-ladder estimates: Analysis and diagnostic tool
T Verdonck, M Debruyne
Insurance: Mathematics and Economics 48 (1), 85-98, 2011
Robustness of reweighted least squares kernel based regression
M Debruyne, A Christmann, M Hubert, JAK Suykens
Journal of Multivariate Analysis 101 (2), 447-463, 2010
The influence function of the Stahel–Donoho covariance estimator of smallest outlyingness
M Debruyne, M Hubert
Statistics & probability letters 79 (3), 275-282, 2009
Outlyingness: Which variables contribute most?
M Debruyne, S Höppner, S Serneels, T Verdonck
Statistics and Computing 29, 707-723, 2019
A proposed framework for backtesting loss given default models
G Loterman, M Debruyne, K Vanden Branden, T Van Gestel, C Mues
Journal of Risk Model Validation 8 (1), 69-90, 2014
Robustness and stability of reweighted kernel based regression
M Debruyne, A Christmann, M Hubert, JAK Suykens
Leuven, Belgium, 2008
Robustified least squares support vector classification
M Debruyne, S Serneels, T Verdonck
Journal of Chemometrics: A Journal of the Chemometrics Society 23 (9), 479-486, 2009
Censored depth quantiles
M Debruyne, M Hubert, S Portnoy, KV Branden
Computational statistics & data analysis 52 (3), 1604-1614, 2008
Robustness of censored depth quantiles, PCA and kernel based regression with new tools for model selection
M Debruyne
Wiley Interdiscip. Rev
M Hubert, M Debruyne, PJ Rousseeuw
Comput. Stat 10, e1421, 2018
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