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stat.ME2023
Principal component analysis in Bayes spaces for sparsely sampled density functions
Lisa Steyer, Sonja Greven
This paper presents a novel approach to functional principal component analysis (FPCA) in Bayes spaces in the setting where densities are the object of analysis, but only few indiv…
stat.ME2023★ 1 cited
Regression in quotient metric spaces with a focus on elastic curves
Lisa Steyer, Almond Stöcker, Sonja Greven
We propose regression models for curve-valued responses in two or more dimensions, where only the image but not the parametrization of the curves is of interest. Examples of such d…