Sonja Greven

Principal component analysis in Bayes spaces for sparsely sampled density functions

This paper presents a novel approach to functional principal component analysis (FPCA) in Bayes spaces, where densities are the object of analysis, but only few individual samples from each density are observed. We use the observed data directly to account for all sources of unce...