4 papers
Explainable Outlier Detection for Multivariate Functional Data
Marcus Mayrhofer, Una RadojiÄiÄ, Horst Lewitschnig +1
This work addresses the challenges of robust covariance estimation and interpretable outlier detection for multivariate functional data with separable covariance structure. We deve…
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…
Robust functional PCA for relative data
Jeremy Oguamalam, Peter Filzmoser, Karel Hron +2
This paper introduces a robust approach to functional principal component analysis (FPCA) for relative data, particularly density functions. While recent papers have studied densit…
A New View to Mission Profiles
Horst Lewitschnig, Marcus Mayrhofer, Peter Filzmoser
Mission profiles cover the conditions that a component, e.g., an electronic component of a vehicle, is exposed to during its lifecycle. Currently, these profiles typically provide…