3 papers
stat.ME2025
Outlier-Robust Multi-Group Gaussian Mixture Modeling with Flexible Group Reassignment
Patricia Puchhammer, Ines Wilms, Peter Filzmoser
Do expert-defined or diagnostically-labeled data groups align with clusters inferred through statistical modeling? If not, where do discrepancies between predefined labels and mode…
stat.ME2024
Sparse outlier-robust PCA for multi-source data
Patricia Puchhammer, Ines Wilms, Peter Filzmoser
Sparse and outlier-robust Principal Component Analysis (PCA) has been a very active field of research recently. Yet, most existing methods apply PCA to a single dataset whereas mul…
stat.ME2023
Identifying Important Pairwise Logratios in Compositional Data with Sparse Principal Component Analysis
Viktorie Nesrstová, Ines Wilms, Karel Hron +1
Compositional data are characterized by the fact that their elemental information is contained in simple pairwise logratios of the parts that constitute the composition. While pair…