370 citations · 393 across the 3 of their papers we have counts for
3 papers
stat.ME2018★ 13 cited
A General Framework for Multivariate Functional Principal Component Analysis of Amplitude and Phase Variation
Clara Happ, Fabian Scheipl, Alice-Agnes Gabriel +1
Functional data typically contains amplitude and phase variation. In many data situations, phase variation is treated as a nuisance effect and is removed during preprocessing, alth…
stat.ME2017★ 10 cited
The Impact of Model Assumptions in Scalar-on-Image Regression
Clara Happ, Sonja Greven, Volker J. Schmid
Complex statistical models such as scalar-on-image regression often require strong assumptions to overcome the issue of non-identifiability. While in theory it is well understood t…
stat.ME2015★ 370 cited
Multivariate Functional Principal Component Analysis for Data Observed on Different (Dimensional) Domains
C. Happ, S. Greven
Existing approaches for multivariate functional principal component analysis are restricted to data on the same one-dimensional interval. The presented approach focuses on multivar…