Jakob Raymaekers | DeepAI

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∙ 08/10/2023

TSLiNGAM: DirectLiNGAM under heavy tails

One of the established approaches to causal discovery consists of combin...

0 Sarah Leyder, et al. ∙

∙ 03/10/2023

Generalized Spherical Principal Component Analysis

Outliers contaminating data sets are a challenge to statistical estimato...

0 Sarah Leyder, et al. ∙

∙ 09/15/2022

The Influence Function of Graphical Lasso Estimators

The precision matrix that encodes conditional linear dependency relation...

0 Gaëtan Louvet, et al. ∙

∙ 02/16/2022

Equivariant Passing-Bablok regression in quasilinear time

Passing-Bablok regression is a standard tool for method and assay compar...

0 Jakob Raymaekers, et al. ∙

∙ 01/05/2021

Weight-of-evidence 2.0 with shrinkage and spline-binning

In many practical applications, such as fraud detection, credit risk mod...

0 Jakob Raymaekers, et al. ∙

∙ 10/02/2020

Regularized K-means through hard-thresholding

We study a framework of regularized K-means methods based on direct pena...

0 Jakob Raymaekers, et al. ∙

∙ 07/28/2020

Visualizing classification results

Classification is a major tool of statistics and machine learning. A cla...

36 Jakob Raymaekers, et al. ∙

∙ 05/16/2020

Transforming variables to central normality

Many real data sets contain features (variables) whose distribution is f...

23 Jakob Raymaekers, et al. ∙

∙ 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...

0 Jakob Raymaekers, et al. ∙

∙ 12/22/2019

Pooled variable scaling for cluster analysis

We propose a new approach for scaling prior to cluster analysis based on...

0 Jakob Raymaekers, et al. ∙

∙ 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...

0 Jakob Raymaekers, et al. ∙

∙ 10/12/2019

Real-time outlier detection for large datasets by RT-DetMCD

Modern industrial machines can generate gigabytes of data in seconds, fr...

0 Bart De Ketelaere, et al. ∙

∙ 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 ...

0 Ana Helena Tavares, et al. ∙

∙ 05/03/2018

A generalized spatial sign covariance matrix

The well-known spatial sign covariance matrix (SSCM) carries out a radia...

0 Jakob Raymaekers, et al. ∙

∙ 03/13/2018

Discussion of "The power of monitoring"

This is an invited comment on the discussion paper "The power of monitor...

0 Jakob Raymaekers, et al. ∙

∙ 12/14/2017

Fast robust correlation for high dimensional data

The product moment covariance is a cornerstone of multivariate data anal...

0 Jakob Raymaekers, et al. ∙

∙ 10/06/2017

Comparing reverse complementary genomic words based on their distance distributions and frequencies

In this work we study reverse complementary genomic word pairs in the hu...

0 Ana Helena Tavares, et al. ∙

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