3 citations · 5 across the 5 of their papers we have counts for
5 papers
Independent Component Analysis by Robust Distance Correlation
Sarah Leyder, Jakob Raymaekers, Peter J. Rousseeuw +2
Independent component analysis (ICA) is a powerful tool for decomposing a multivariate signal or distribution into fully independent sources, not just uncorrelated ones. Unfortunat…
RobPy: a Python Package for Robust Statistical Methods
Sarah Leyder, Jakob Raymaekers, Peter J. Rousseeuw +2
Robust estimation provides essential tools for analyzing data that contain outliers, ensuring that statistical models remain reliable even in the presence of some anomalous data. W…
Robust Distance Covariance
Sarah Leyder, Jakob Raymaekers, Peter J. Rousseeuw
Distance covariance is a popular measure of dependence between random variables. It has some robustness properties, but not all. We prove that the influence function of the usual d…
TSLiNGAM: DirectLiNGAM under heavy tails
Sarah Leyder, Jakob Raymaekers, Tim Verdonck
One of the established approaches to causal discovery consists of combining directed acyclic graphs (DAGs) with structural causal models (SCMs) to describe the functional dependenc…
Generalized Spherical Principal Component Analysis
Sarah Leyder, Jakob Raymaekers, Tim Verdonck
Outliers contaminating data sets are a challenge to statistical estimators. Even a small fraction of outlying observations can heavily influence most classical statistical methods.…