Profil

Haesbroeck Gentiane

Département de mathématique > Statistique mathématique

Vice-doyen à l'enseignement (Sciences)

Mathematics

See author's contact details
Main Research Fields
Mathematics
Computer science
Immunology & infectious disease
Physical, chemical, mathematical & earth Sciences: Multidisciplinary, general & others
Education & instruction
Main Keywords
robustness; Influence function; Robustness; influence function; robust estimation;
Main Unit & Research Centers
Mathematics - ULiège
HEC Recherche. Supply Chain Management and Business Analytics - ULiège
QuantOM
Main Co-authors
Ruwet, Christel 
Bair, Jacques 
Aerts, Stéphanie 
Croux, C.
Croux, Christophe 

Publications (total 66)

The most downloaded
2001 downloads
Bair, J., & Haesbroeck, G. (March 2013). Prix Nobel d'Economie et mathématiques. Losanges, 20, 43-50. https://hdl.handle.net/2268/148748
The most cited
259 citations (SCOPUS)
Croux, C., & Haesbroeck, G. (2000). Principal component analysis based on robust estimators of the covariance or correlation matrix: Influence functions and efficiencies. Biometrika, 87 (3), 603-618. doi:10.1093/biomet/87.3.603 https://hdl.handle.net/2268/28461

Haesbroeck, G. (28 April 2022). Chiffres et interprétation: focus sur les statistiques dans la presse. Paper presented at Conférence annuelle de l'Association des mathématiciens diplômés de l'ULiège, Liège, Belgium.

Sepulchre, E., Pittie, G., Stojkovic, V., Haesbroeck, G., Crama, Y., Schyns, M., Paridaens, H., de Marchin, J., Degesves, S., Biemar, C., Boccar, S., Senterre, J.-M., & Minon, J.-M. (2022). Covid-19: contribution of clinical characteristics and laboratory features for early detection of patients with high risk of severe evolution. Acta Clinica Belgica, 77 (2), 261-267. doi:10.1080/17843286.2020.1822078
Peer Reviewed verified by ORBi

Aerts, S., Haesbroeck, G., & Ruwet, C. (26 February 2020). Multivariate relative dispersion. Paper presented at International Workshop Advances in longitudinal and clustered data, Dortmund, Germany.

Aerts, S., Haesbroeck, G., & Klenkenberg, S. (2020). Completion/Drop out and Time to Degree in the PhD track: A Conceptual Literature Review. Eprint/Working paper retrieved from https://orbi.uliege.be/2268/240711.

Henry, V., & Haesbroeck, G. (07 February 2018). Les probabilités : comment allier intuition et raisonnement ? Que peut apporter l'outil informatique ? Paper presented at Séminaire AMUlg, Liège, Belgium.

Aerts, S., Haesbroeck, G., & Ruwet, C. (2018). Distribution under elliptical symmetry of a distance-based multivariate coefficient of variation. Statistical Papers. doi:10.1007/s00362-016-0777-4
Peer Reviewed verified by ORBi

Ernst, M., & Haesbroeck, G. (March 2017). Comparison of local outliers detection techniques in spatial multivariate data. Data Mining and Knowledge Discovery, 31 (2), 371–399. doi:10.1007/s10618-016-0471-0
Peer Reviewed verified by ORBi

Aerts, S., & Haesbroeck, G. (2017). Robust asymptotic tests for the equality of multivariate coefficients of variation. TEST, 26 (1), 163-187. doi:10.1007/s11749-016-0504-4
Peer reviewed

Aerts, S., & Haesbroeck, G. (14 October 2016). A full inference toolbox to measure multivariate relative dispersion. Paper presented at 24e Congrès de la Société Belge de Statistiques.

Ernst, M., & Haesbroeck, G. (14 December 2015). Spatial autocorrelation: robustness of measures and tests. Paper presented at 8th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2015), Londres, United Kingdom.

Aerts, S., & Haesbroeck, G. (13 December 2015). Multivariate coefficients of variation: a full inference toolbox. Paper presented at 8th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2015), London, United Kingdom.

Favart, E., Haesbroeck, G., & Kreusch, M. (December 2015). Les mathématiques à l’honneur à MT180. Losanges, 31.

Aerts, S., Haesbroeck, G., & Ruwet, C. (December 2015). Multivariate coefficients of variation: Comparison and influence functions. Journal of Multivariate Analysis, 142, 183-198. doi:10.1016/j.jmva.2015.08.006
Peer Reviewed verified by ORBi

Stirbu, S., Thirion, P., Schmitz, S., Haesbroeck, G., & Greco, N. (13 May 2015). The utility of Google Scholar when searching geographical literature: comparison with three commercial bibliographic databases. Journal of Academic Librarianship, 41 (3), 322-329. doi:10.1016/j.acalib.2015.02.013
Peer Reviewed verified by ORBi

Aerts, S., Haesbroeck, G., & Schyns, M. (2015). Doc'Data: mesure de la persévérance au doctorat à l'Université de Liège. ULg - Université de Liège.

Ruwet, C., & Haesbroeck, G. (2015). Classification robuste. In J.-J. Droesbeke, G. Saporta, & C. Thomas-Agnan, Méthodes robustes en statistique (pp. 63-82). Technip.
Peer reviewed

Croux, C., & Haesbroeck, G. (2015). Régularisation robuste de matrices de variances-covariances. In J.-J. Droesbeke, G. Saporta, & C. Thomas-Agnan, Méthodes robustes en statistique (pp. 125-138). Technip.
Peer reviewed

Croux, C., & Haesbroeck, G. (2015). Analyse multivariée. In J.-J. Droesbeke, G. Saporta, & C. Thomas-Agnan, Méthodes robustes en statistique (pp. 29-50). Technip.
Peer reviewed

Ernst, M., & Haesbroeck, G. (22 August 2014). Comparison of robust detection techniques for local outliers in multivariate spatial data. Paper presented at 21st International Conference on Computational Statistics, Geneva, Switzerland.

Aerts, S., Haesbroeck, G., & Ruwet, C. (12 August 2014). Robustness and efficiency of multivariate coefficients of variation. Paper presented at International Conference on Robust Statistics ICORS 2014, Halle, Germany.

Bair, J., & Haesbroeck, G. (June 2014). Eugène Catalan. Tangente, 158, 6-8.

Ernst, M., & Haesbroeck, G. (26 November 2013). Robust detection techniques for multivariate spatial data. Poster session presented at The 'International Year of Statistics' Conference, Luxembourg, Luxembourg.

Ernst, M., & Haesbroeck, G. (11 July 2013). Detection of Local and Global Outliers in Spatial Data. Paper presented at International Conference on Robust Statistics ICORS 2013, Saint Petersburg, Russia.

Bair, J., & Haesbroeck, G. (March 2013). Prix Nobel d'Economie et mathématiques. Losanges, 20, 43-50.

Ruwet, C., & Haesbroeck, G. (February 2013). Classification performance resulting from of 2-means. Journal of Statistical Planning and Inference, 143 (2), 408-418. doi:10.1016/j.jspi.2012.08.004
Peer Reviewed verified by ORBi

Croux, C., Haesbroeck, G., & Ruwet, C. (2013). Robust estimation for ordinal regression. Journal of Statistical Planning and Inference, 143 (9), 1486–1499. doi:10.1016/j.jspi.2013.04.008
Peer Reviewed verified by ORBi

Bair, J., & Haesbroeck, G. (January 2012). Modèles chaotiques en économie. Tangente Sup, 63 - 64, 45 - 50.

Ruwet, C., & Haesbroeck, G. (2011). Impact of contamination on training and test error rates in statistical clustering. Communications in Statistics: Simulation and Computation, 40 (3), 394-411. doi:10.1080/03610918.2010.542847
Peer Reviewed verified by ORBi

Ruwet, C., Haesbroeck, G., & Croux, C. (14 October 2010). Robustness in ordinal regression. Paper presented at 18th Annuel meeting of the Belgian Statistical Society, Spa, Belgium.

Ruwet, C., Haesbroeck, G., & Croux, C. (28 June 2010). Robust ordinal logistic regression. Paper presented at International conference on robust statistics 2010, Prague, Czechia.

Ruwet, C., Haesbroeck, G., & Croux, C. (20 May 2010). Robustness properties of the ordered logistic discrimination. Paper presented at Séminaire de statistique, Liège, Belgium.

Schyns, M., Haesbroeck, G., & Critchley, F. (April 2010). RelaxMCD: smooth optimisation for the Minimum Covariance Determinant estimator. Computational Statistics and Data Analysis, 54 (4), 843-857. doi:10.1016/j.csda.2009.11.005
Peer Reviewed verified by ORBi

Critchley, F., Schyns, M., Haesbroeck, G., Fauconnier, C., Lu, G., Atkinson, R. A., & Wang, D. Q. (January 2010). A relaxed approach to combinatorial problems in robustness and diagnostics. Statistics and Computing, 20 (1), 99-115. doi:10.1007/s11222-009-9119-x
Peer Reviewed verified by ORBi

Ruwet, C., & Haesbroeck, G. (14 October 2009). Detection of influential observations on the error rate based on the generalized k-means clustering procedure. Paper presented at 17th Annual meeting of the Belgian Statistical Society, Lommel, Belgium.

Fauconnier, C., & Haesbroeck, G. (July 2009). Outlier detection with the minimum covariance determinant estimator in practice. Statistical Methodology, 6 (4), 363-379. doi:10.1016/j.stamet.2008.12.005
Peer Reviewed verified by ORBi

Ruwet, C., & Haesbroeck, G. (18 June 2009). Impact of contamination on empirical and theoretical error. Paper presented at ICORS09 International Conference on Robust Statistics, Parma, Italy.

Ruwet, C., & Haesbroeck, G. (19 May 2009). Influence function of the error rate of classification based on clustering. Paper presented at Third annual doctoral workshop of the Graduate School STAT-ACTU, Liège, Belgium.

Ruwet, C., & Haesbroeck, G. (May 2009). Influence functions of the error rates of classification based on clustering. Poster session presented at Exploring research frontiers in contemporary statistics an econometrics, Louvain-La-Neuve, Belgium.

Ruwet, C., & Haesbroeck, G. (30 March 2009). Influence function of the error rate of the generalized k-means. Paper presented at Séminaire de statistique, Liège, Belgium.

Croux, C., Haesbroeck, G., & Joossens, K. (2008). Logistic discrimination using robust estimators: an influence function approach. Canadian Journal of Statistics, 36 (1), 157-174. doi:10.1002/cjs.5550360114
Peer Reviewed verified by ORBi

Critchley, F., Schyns, M., Haesbroeck, G., Kinns, D., Atkinson, R. A., & Lu, G. (2004). The case sensitivity function approach to diagnostic and robust computation: a relaxation strategy. In J. Antoch, COMPSTAT 2004: Proceedings in Computational Statistics (pp. 113-125). Heidelberg, Germany: Physica-Verlag.
Peer reviewed

Henry, V., & Haesbroeck, G. (2004). Pratique de la statistique descriptive. Bruxelles et Liège, Belgium: Coédition Ferrer et Céfal. doi:10.1309/8DE12YU65BKHHQW6

Croux, C., & Haesbroeck, G. (28 October 2003). Implementing the Bianco and Yohai estimator for logistic regression. Computational Statistics and Data Analysis, 44 (1-2), 273-295. doi:10.1016/S0167-9473(03)00042-2
Peer Reviewed verified by ORBi

Croux, C., Flandre, C., & Haesbroeck, G. (15 December 2002). The breakdown behavior of the maximum likelihood estimator in the logistic regression model. Statistics and Probability Letters, 60 (4), 377-386. doi:10.1016/S0167-7152(02)00292-4
Peer Reviewed verified by ORBi

Croux, C., Haesbroeck, G., & Rousseeuw, P. J. (July 2002). Location adjustment for the minimum volume ellipsoid estimator. Statistics and Computing, 12 (3), 191-200. doi:10.1023/A:1020713207683
Peer Reviewed verified by ORBi

Croux, C., & Haesbroeck, G. (June 2002). Maxbias curves of robust location estimators based on subranges. Journal of Nonparametric Statistics, 14 (3), 295-306. doi:10.1080/10485250212378
Peer Reviewed verified by ORBi

Bair, J., & Haesbroeck, G. (2002). Sur l'enseignement de la statistique en Communauté française de Belgique. Repères: Revue des Instituts de Recherche sur l'Enseignement des Mathématiques, 48, 41-58.
Peer Reviewed verified by ORBi

Croux, C., & Haesbroeck, G. (January 2002). A note on finite-sample efficiencies of estimators for the minimum volume ellipsoid. Journal of Statistical Computation and Simulation, 72 (7), 585-596. doi:10.1080/00949650213708
Peer Reviewed verified by ORBi

Croux, C., & Haesbroeck, G. (2001). Régression logistique robuste. In J. J. Droesbeke, M. Lejeune, & G. Saporta, Modèles statistiques pour données qualitatives. Paris, France: Technip.

Croux, C., & Haesbroeck, G. (2001). Maxbias curves of robust scale estimators based on subranges. Metrika, 53 (2), 101-122. doi:10.1007/PL00003987
Peer Reviewed verified by ORBi

Croux, C., & Haesbroeck, G. (2000). Estimateurs Robustes pour les Composantes Principales. In Proceedings des XXXII Journées de Statistique (pp. 276-278).
Peer reviewed

Bair, J., & Haesbroeck, G. (2000). Formation mathématique par la résolution de problèmes. Bruxelles, Belgium: De Boeck Université.

Croux, C., & Haesbroeck, G. (2000). Principal component analysis based on robust estimators of the covariance or correlation matrix: Influence functions and efficiencies. Biometrika, 87 (3), 603-618. doi:10.1093/biomet/87.3.603
Peer reviewed

Croux, C., & Haesbroeck, G. (1999). Empirical Influence Functions for Robust Principal Components. In 1999 Proceedings of the Statistical Computing Section of the American Statistical Association (pp. 201-206).
Peer reviewed

Bair, J., & Haesbroeck, G. (1999). La formation quantitative des économistes à la lumière de l'évolution des rapports entre les mathématiques et l'économie. In Histoire et épistémologie dans l'éducation mathématique: de la maternelle à l'université, Proceedings I (pp. 83-89).

Croux, C., & Haesbroeck, G. (1999). Influence function and efficiency of the minimum covariance determinant scatter matrix estimator. Journal of Multivariate Analysis, 71 (2), 161-190. doi:10.1006/jmva.1999.1839
Peer Reviewed verified by ORBi

Haesbroeck, G. (1998). Le chaos. In J. Bair, G. Haesbroeck, D. Justens, & J. Rosoux, Modèles mathématiques en finance: de l'incohérence à l'incertitude et au chaos. Presses Ferrer.

Bair, J., Haesbroeck, G., Justens, D., & Rosoux, J. (1998). Modèles mathématiques en finance. (Presses Ferrer).

Bair, J., & Haesbroeck, G. (1998). Modélisation : passage d'un problème réel à un problème mathématique. Bulletin APMEP, 418, 583-590.
Peer reviewed

Haesbroeck, G. (1997). Introduction à la statistique robuste. In Proceedings CSIPWIC 1997.

Bair, J., & Haesbroeck, G. (1997). Etude statistique sur la perception des problèmes mathématiques dans l'enseignement. In Stratégies et medias pédagogiques pour l'apprentissage et l'évaluation dans l'enseignement supérieur (pp. 615-624).
Peer reviewed

Bair, J., & Haesbroeck, G. (1997). Monotonous stability for neutral fixed points. Bulletin of the Belgian Mathematical Society Simon Stevin, 4 (5), 639-646. doi:10.36045/bbms/1105737768

Croux, C., & Haesbroeck, G. (1997). An Easy Way to Increase the Finite-Sample Efficiency of the Resampled Minimum Volume Ellipsoid Estimator. Computational Statistics and Data Analysis, 25, 125-141. doi:10.1016/S0167-9473(96)00088-6
Peer Reviewed verified by ORBi

Bair, J., & Haesbroeck, G. (1996). Variations autour de la définition des fonctions convexes. Mathématique et Pédagogie, 105, 57-70.

Bair, J., & Haesbroeck, G. (1996). La dérivée schwarzienne. Mathématique et Pédagogie, 108, 29-38.

Haesbroeck, G. (1995). Likelihood functions and measurement errors. In Proceeding of the 9th European meeting of young statisticians (pp. 31-35).
Peer reviewed

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