| Multivariate functional outlier detection M Hubert, PJ Rousseeuw, P Segaert Statistical Methods & Applications 24 (2), 177-202, 2015 | 139 | 2015 |
| Multivariate and functional classification using depth and distance M Hubert, P Rousseeuw, P Segaert Advances in Data Analysis and Classification 11 (3), 445-466, 2017 | 40 | 2017 |
| Fit to speak-Physical fitness is associated with reduced language decline in healthy ageing K Segaert, SJE Lucas, CV Burley, P Segaert, AE Milner, M Ryan, ... Scientific Reports 8, 2018 | 12* | 2018 |
| mrfdepth: Depth measures in multivariate, regression and functional settings P Segaert, M Hubert, P Rousseeuw https://cran. r-project. org/package= mrfDepth, 2017 | 8 | 2017 |
| Robust bootstrap procedures for the chain-ladder method K Peremans, P Segaert, S Van Aelst, T Verdonck Scandinavian Actuarial Journal 2017 (10), 870-897, 2017 | 7 | 2017 |
| Finding outliers in surface data and video M Hubert, J Raymaekers, PJ Rousseeuw, P Segaert arXiv preprint arXiv:1601.08133, 2016 | 7 | 2016 |
| Rejoinder to ‘multivariate functional outlier detection’ M Hubert, P Rousseeuw, P Segaert Statistical Methods & Applications 24 (2), 269-277, 2015 | 7 | 2015 |
| Robust identification of target genes and outliers in triple-negative breast cancer data P Segaert, MB Lopes, S Casimiro, S Vinga, PJ Rousseeuw Statistical methods in medical research 28 (10-11), 3042-3056, 2019 | 6 | 2019 |
| Analysis of travel activity determinants using robust statistics V Plevka, P Segaert, CMJ Tampère, M Hubert Transportation 43 (6), 979-996, 2016 | 3 | 2016 |
| Multivariate constrained robust M‐regression for shaping forward curves in electricity markets P Leoni, P Segaert, S Serneels, T Verdonck Journal of Futures Markets 38 (11), 1391-1406, 2018 | 1 | 2018 |
| Functional outlier detection for image data M Hubert, P Rousseeuw, P Segaert Conferentia Chemometrica 2015, Date: 2015/09/13-2015/09/16, Location: Budapest, 2015 | 1 | 2015 |
| Classification of multivariate functional data based on depth P Rousseeuw, M Hubert, P Segaert ERCIM, Date: 2014/12/06-2014/12/08, Location: Pisa, 2014 | 1 | 2014 |
| mrfDepth P Segaert, M Hubert, P Rousseeuw, J Raymaekers CRAN; https://cran. r-project. org/web/packages/mrfDepth/index. html, 2019 | | 2019 |
| Package ‘mrfDepth’ P Segaert, M Hubert, P Rousseeuw, J Raymaekers, K Vakili, MP Segaert | | 2017 |
| Robust joint modelling of mean and dispersion for the GLM framework P Segaert, S Van Aelst, T Verdonck DSSV, 2017 | | 2017 |
| Robust joint modeling of mean and dispersion for GLMs T Verdonck, P Segaert, S Van Aelst CMStatistics, Date: 2017/12/16-2017/12/18, Location: London, 2017 | | 2017 |
| Robust techniques for functional data and generalized linear models P Segaert | | 2017 |
| Package ‘mrfDepthLight’ M Hubert, P Rousseeuw, P Segaert, K Vakili, MP Segaert | | 2016 |
| The functional outlier map for detecting and classifying functional outliers M Hubert, J Raymaekers, P Rousseeuw, P Segaert CMStatistics 2016, Date: 2016/12/09-2016/12/11, Location: Seville, 2016 | | 2016 |
| Functional outlier detection with applications to MRI image data M Hubert, P Rousseeuw, J Raymaekers, P Segaert 61st RBras, Date: 2016/05/23-2016/05/25, Location: Salvador (Brazil), 2016 | | 2016 |
Peter RousseeuwKU Leuven, BelgiumVerified email at rousseeuw.net
