Pieter Segaert
Pieter Segaert
KU Leuven
Verified email at telenet.be
Title
Cited by
Cited by
Year
Multivariate functional outlier detection
M Hubert, PJ Rousseeuw, P Segaert
Statistical Methods & Applications 24 (2), 177-202, 2015
1292015
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
382017
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
11*2018
mrfdepth: Depth measures in multivariate, regression and functional settings
P Segaert, M Hubert, P Rousseeuw
https://cran. r-project. org/package= mrfDepth, 2017
72017
Finding outliers in surface data and video
M Hubert, J Raymaekers, PJ Rousseeuw, P Segaert
arXiv preprint arXiv:1601.08133, 2016
72016
Rejoinder to ‘multivariate functional outlier detection’
M Hubert, P Rousseeuw, P Segaert
Statistical Methods & Applications 24 (2), 269-277, 2015
72015
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
62019
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
52017
Analysis of travel activity determinants using robust statistics
V Plevka, P Segaert, CMJ Tampère, M Hubert
Transportation 43 (6), 979-996, 2016
32016
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
12018
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
12015
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
12015
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
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