arXiv stat.ML
· Papers
PCA of probability measures: Sparse and Dense sampling regimes
arXiv:2602.02190v2 Announce Type: replace Abstract: A common approach to perform PCA on probability measures is to embed them into a Hilbert space where standard functional PCA techniques apply. While convergence rates for estimating the embedding of a single measure from $m$ samples are well understood, the literature