| From depth to local depth: a focus on centrality D Paindaveine, G Van Bever Journal of the American Statistical Association 108 (503), 1105-1119, 2013 | 96 | 2013 |
| Nonparametrically consistent depth-based classifiers D Paindaveine, G Van Bever Bernoulli, 62-82, 2015 | 46 | 2015 |
| Halfspace depths for scatter, concentration and shape matrices D Paindaveine, G Van Bever The Annals of Statistics 46 (6B), 3276-3307, 2018 | 34 | 2018 |
| Inference on the shape of elliptical distributions based on the MCD D Paindaveine, G Van Bever Journal of Multivariate Analysis 129, 125-144, 2014 | 11 | 2014 |
| Geometry of goodness-of-fit testing in high dimensional low sample size modelling P Marriott, R Sabolova, G Van Bever, F Critchley Geometric Science of Information: Second International Conference, GSI 2015 …, 2015 | 5 | 2015 |
| Contributions to nonparametric and semiparametric inference based on statistical depth G Van Bever | 5 | 2013 |
| Simplicial bivariate tests for randomness G Van Bever Statistics & Probability Letters 112, 20-25, 2016 | 2 | 2016 |
| On the maximal halfspace depth of permutation-invariant distributions on the simplex D Paindaveine, G Van Bever Statistics & Probability Letters 129, 335-339, 2017 | 1 | 2017 |
| Supplement to “Halfspace depths for scatter, concentration and shape matrices” D Paindaveine, G Van Bever Manuscript under consideration, 2017 | 1 | 2017 |
| The information geometry of sparse goodness-of-fit testing P Marriott, R Sabolová, G Van Bever, F Critchley Entropy 18 (12), 421, 2016 | 1 | 2016 |
| Discussion of “Multivariate Functional Outlier Detection”, by Mia Hubert, Peter Rousseeuw and Pieter Segaert D Paindaveine, G Van Bever Statistical methods & applications 24 (2), 223-231, 2015 | 1 | 2015 |
| On ANOVA-like matrix decompositions G Bove, F Critchley, R Sabolova, G Van Bever Modern Nonparametric, Robust and Multivariate Methods: Festschrift in Honour …, 2015 | | 2015 |
| Computational Information Geometry: mixture modelling R Germain Van Bever, F Critchley, P Marriott | | |
