3 papers
stat.ME2023
Wasserstein Principal Component Analysis for Circular Measures
Mario Beraha, Matteo Pegoraro
We consider the 2-Wasserstein space of probability measures supported on the unit-circle, and propose a framework for Principal Component Analysis (PCA) for data living in such a s…
stat.ME2023
Transform-scaled process priors for trait allocations in Bayesian nonparametrics
Mario Beraha, Stefano Favaro
Completely random measures (CRMs) provide a broad class of priors, arguably, the most popular, for Bayesian nonparametric (BNP) analysis of trait allocations. As a peculiar propert…
stat.CO2021
Bayesian nonparametric model based clustering with intractable distributions: an ABC approach
Mario Beraha, Riccardo Corradin
Bayesian nonparametric mixture models offer a rich framework for model based clustering. We consider the situation where the kernel of the mixture is available only up to an intrac…