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stat.ME2026
Variable Domain Multivariate Functional Principal Component Analysis
Pavel Hernández Amaro, MarÃa Durbán, M. Carmen Aguilera-Morillo +3
Multivariate functional principal component analysis (MFPCA) is a powerful dimension reduction technique for analyzing multiple functional variables simultaneously. However, existi…
stat.ME2025
On spatial point processes with composition-valued marks
Matthias Eckardt, Mari Myllymäki, Sonja Greven
Methods for marked spatial point processes with scalar marks have seen extensive development in recent years. While the impressive progress in data collection and storage capacitie…
stat.ME2024
Generalized Multivariate Functional Additive Mixed Models for Location, Scale, and Shape
Alexander Volkmann, Nikolaus Umlauf, Sonja Greven
We propose a flexible regression framework to model the conditional distribution of multilevel generalized multivariate functional data of potentially mixed type, e.g. binary and c…