´Alvaro Gajardo

Global Fr´echet Manifold Learning for Random Objects, With Application to Low-Dimensional Wasserstein Representations of Distributional Data

The proposed approach as Fr´echet manifold learning with multidimensional scaling for samples of metric space valued data is illustrated with distributional data for baby names, bike rentals and age pyramids and it is demonstrated how it can be applied for a novel distributional regression method that features one-dime...