| Multivariate functional outlier detection M Hubert, PJ Rousseeuw, P Segaert Statistical Methods & Applications 24 (2), 177-202, 2015 | 234 | 2015 |
| Multivariate and functional classification using depth and distance M Hubert, P Rousseeuw, P Segaert Advances in Data Analysis and Classification 11, 445-466, 2017 | 69 | 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 | 36* | 2018 |
| mrfDepth: Depth measures in multivariate, regression and functional settings P Segaert, M Hubert, P Rousseeuw https://cran. r-project. org/package= mrfDepth, 2017 | 27 | 2017 |
| 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 | 26 | 2019 |
| 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 | 15 | 2017 |
| Finding outliers in surface data and video M Hubert, J Raymaekers, PJ Rousseeuw, P Segaert arXiv preprint arXiv:1601.08133, 2016 | 9 | 2016 |
| Rejoinder to ‘multivariate functional outlier detection’ M Hubert, P Rousseeuw, P Segaert Statistical Methods & Applications 24, 269-277, 2015 | 9 | 2015 |
| Analysis of travel activity determinants using robust statistics V Plevka, P Segaert, CMJ Tampère, M Hubert Transportation 43, 979-996, 2016 | 6 | 2016 |
| Robust inference and modeling of mean and dispersion for generalized linear models J Ponnet, P Segaert, S Van Aelst, T Verdonck Journal of the American Statistical Association 119 (545), 678-689, 2024 | 5 | 2024 |
| 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 | 2 | 2018 |
| Classication of multivariate functional data based on depth P Rousseeuw, M Hubert, P Segaert ISI2015, Date: 2015/07/26-2015/07/31, Location: Rio de Janeiro, 2015 | 1 | 2015 |
| mrfDepth P Segaert, M Hubert, P Rousseeuw, J Raymaekers CRAN; https://cran. r-project. org/web/packages/mrfDepth/index. html, 2019 | | 2019 |
| 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 joint modelling of mean and dispersion for the GLM framework P Segaert, S Van Aelst, T Verdonck DSSV, 2017 | | 2017 |
| Robust techniques for functional data and generalized linear models P Segaert | | 2017 |
| Robust bootstrap procedures for claims reserving using GLM T Verdonck, P Segaert, S Van Aelst, K Peremans CMStatistics, Date: 2016/12/09-2016/12/11, Location: Seville, 2016 | | 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 |
| Robust bootstrap procedures for claims reserving using Generalized Linear Models P Segaert, K Peremans, S Van Aelst, T Verdonck European Actuarial Journal Conference, Date: 2016/09/06-2016/09/08, Location …, 2016 | | 2016 |
| Robust bootstrap procedures for claims reserving using Generalized Linear Models K Peremans, P Segaert, S Van Aelst, T Verdonck ICORS, Date: 2016/07/04-2016/07/08, Location: Geneva, 2016 | | 2016 |
Peter RousseeuwKU Leuven, BelgiumVerified email at rousseeuw.net
