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…