1 citations · 1 across the 1 of their papers we have counts for
2 papers
stat.ME2026★ 1 cited
Cellwise and Casewise Robust Covariance in High Dimensions
Fabio Centofanti, Mia Hubert, Peter J. Rousseeuw
The sample covariance matrix is a cornerstone of multivariate statistics, but it is highly sensitive to outliers. These can be casewise outliers, such as cases belonging to a diffe…
stat.ME2025
Robust Principal Components by Casewise and Cellwise Weighting
Fabio Centofanti, Mia Hubert, Peter J. Rousseeuw
Principal component analysis (PCA) is a fundamental tool for analyzing multivariate data. Here the focus is on dimension reduction to the principal subspace, characterized by its p…