One of the established approaches to causal discovery consists of combin...
Outliers contaminating data sets are a challenge to statistical estimato...
The precision matrix that encodes conditional linear dependency relation...
Passing-Bablok regression is a standard tool for method and assay compar...
In many practical applications, such as fraud detection, credit risk mod...
We study a framework of regularized K-means methods based on direct
pena...
Classification is a major tool of statistics and machine learning. A
cla...
Many real data sets contain features (variables) whose distribution is f...
We propose a method for detecting cellwise outliers. Given a robust
cova...
We propose a new approach for scaling prior to cluster analysis based on...
We propose a new approach for scaling prior to cluster analysis based on...
Modern industrial machines can generate gigabytes of data in seconds,
fr...
In this work we seek clusters of genomic words in human DNA by studying ...
The well-known spatial sign covariance matrix (SSCM) carries out a radia...
This is an invited comment on the discussion paper "The power of monitor...
The product moment covariance is a cornerstone of multivariate data anal...
In this work we study reverse complementary genomic word pairs in the hu...