Peter J. Rousseeuw - researchr alias

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Viewing Publication 1 - 28 from 28

2022

Class Maps for Visualizing Classification ResultsJakob Raymaekers, Peter J. Rousseeuw, Mia Hubert. technometrics, 64(2):151-165, 2022. [doi]

Silhouettes and Quasi Residual Plots for Neural Nets and Tree-based ClassifiersJakob Raymaekers, Peter J. Rousseeuw. jcgs, 31(4):1332-1343, October 2022. [doi]

2021

2020

The minimum regularized covariance determinant estimatorKris Boudt, Peter J. Rousseeuw, Steven Vanduffel, Tim Verdonck. sac, 30(1):113-128, 2020. [doi]

Clustering genomic words in human DNA using peaks and trends of distributionsAna Helena Tavares, Jakob Raymaekers, Peter J. Rousseeuw, Paula Brito, Vera Afreixo. adac, 14(1):57-76, 2020. [doi]

2019

MacroPCA: An All-in-One PCA Method Allowing for Missing Values as Well as Cellwise and Rowwise OutliersMia Hubert, Peter J. Rousseeuw, Wannes Van Den Bossche. technometrics, 61(4):459-473, 2019. [doi]

Faster k-Medoids Clustering: Improving the PAM, CLARA, and CLARANS AlgorithmsErich Schubert, Peter J. Rousseeuw. sisap 2019: 171-187 [doi]

2018

Discussion of "The power of monitoring: how to make the most of a contaminated multivariate sample"Jakob Raymaekers, Peter J. Rousseeuw, Iwein Vranckx. sma, 27(4):589-594, 2018. [doi]

Anomaly detection by robust statisticsPeter J. Rousseeuw, Mia Hubert. widm, 8(2), 2018. [doi]

Detecting Deviating Data CellsPeter J. Rousseeuw, Wannes Van Den Bossche. technometrics, 60(2):135-145, 2018. [doi]

2017

Dissimilar Symmetric Word Pairs in the Human GenomeAna Helena Tavares, Jakob Raymaekers, Peter J. Rousseeuw, Raquel M. Silva, Carlos A. C. Bastos, Armando J. Pinho, Paula Brito, Vera Afreixo. pacbb 2017: 248-256 [doi]

2015

Multivariate functional outlier detectionMia Hubert, Peter J. Rousseeuw, Pieter Segaert. sma, 24(2):177-202, 2015. [doi]

2011

Robust statistics for outlier detectionPeter J. Rousseeuw, Mia Hubert. widm, 1(1):73-79, 2011. [doi]

2010

Special Issue on Robust Methods for Classification and Data Analysis - Preface by the Guest EditorsMarco Riani, Andrea Cerioli, Peter J. Rousseeuw. adac, 4(2-3):85-87, 2010. [doi]

DetMCD in a Calibration FrameworkTim Verdonck, Mia Hubert, Peter J. Rousseeuw. compstat 2010: 589-596 [doi]

2005

ROBPCA: A New Approach to Robust Principal Component AnalysisMia Hubert, Peter J. Rousseeuw, Karlien Vanden Branden. technometrics, 47(1):64-79, 2005. [doi]

2004

Robust Multivariate RegressionPeter J. Rousseeuw, Stefan Van Aelst, Katrien van Driessen, Jose A. Gulló. technometrics, 46(3):293-305, 2004. [doi]

2003

Fitting multiplicative models by robust alternating regressionsChristophe Croux, Peter Filzmoser, G. Pison, Peter J. Rousseeuw. sac, 13(1):23-36, 2003. [doi]

Robustness against separation and outliers in logistic regressionPeter J. Rousseeuw, Andreas Christmann. csda, 43(3):315-332, 2003. [doi]

2002

Location adjustment for the minimum volume ellipsoid estimatorChristophe Croux, Gentiane Haesbroeck, Peter J. Rousseeuw. sac, 12(3):191-200, 2002. [doi]

A Hotelling Test Based on MCDGert Willems, G. Pison, Peter J. Rousseeuw, Stefan Van Aelst. compstat 2002: 117-122 [doi]

1999

A Fast Algorithm for the Minimum Covariance Determinant EstimatorPeter J. Rousseeuw, Katrien van Driessen. technometrics, 41(3):212-223, 1999. [doi]

1998

Computing location depth and regression depth in higher dimensionsPeter J. Rousseeuw, Anja Struyf. sac, 8(3):193-203, 1998. [doi]

The Deepest FitPeter J. Rousseeuw, Stefan Van Aelst. compstat 1998: 437-442 [doi]

1987

Robust Regression and Outlier DetectionPeter J. Rousseeuw, Annick Leroy. Wiley Series in Probability and Statistics, Wiley, 1987. [doi]

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