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08/10/2023
TSLiNGAM: DirectLiNGAM under heavy tails
One of the established approaches to causal discovery consists of combin...
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03/10/2023
Generalized Spherical Principal Component Analysis
Outliers contaminating data sets are a challenge to statistical estimato...
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09/15/2022
The Influence Function of Graphical Lasso Estimators
The precision matrix that encodes conditional linear dependency relation...
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02/16/2022
Equivariant Passing-Bablok regression in quasilinear time
Passing-Bablok regression is a standard tool for method and assay compar...
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01/05/2021
Weight-of-evidence 2.0 with shrinkage and spline-binning
In many practical applications, such as fraud detection, credit risk mod...
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10/02/2020
Regularized K-means through hard-thresholding
We study a framework of regularized K-means methods based on direct pena...
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07/28/2020
Visualizing classification results
Classification is a major tool of statistics and machine learning. A cla...
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05/16/2020
Transforming variables to central normality
Many real data sets contain features (variables) whose distribution is f...
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12/28/2019
Flagging and handling cellwise outliers by robust estimation of a covariance matrix
We propose a method for detecting cellwise outliers. Given a robust cova...
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12/22/2019
Pooled variable scaling for cluster analysis
We propose a new approach for scaling prior to cluster analysis based on...
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12/22/2019
Pooled scale estimators for scaling prior to cluster analysis
We propose a new approach for scaling prior to cluster analysis based on...
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10/12/2019
Real-time outlier detection for large datasets by RT-DetMCD
Modern industrial machines can generate gigabytes of data in seconds, fr...
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08/13/2018
Clustering genomic words in human DNA using peaks and trends of distributions
In this work we seek clusters of genomic words in human DNA by studying ...
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05/03/2018
A generalized spatial sign covariance matrix
The well-known spatial sign covariance matrix (SSCM) carries out a radia...
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03/13/2018
Discussion of "The power of monitoring"
This is an invited comment on the discussion paper "The power of monitor...
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12/14/2017
Fast robust correlation for high dimensional data
The product moment covariance is a cornerstone of multivariate data anal...
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10/06/2017
