Eduardo Garc'ia-Portugu'es

Goodness-of-fit for distributions on metric spaces

We propose a general goodness-of-fit framework for distributions on separable metric spaces. Under suitable identifiability conditions, probability distributions are characterized by distance profiles, which motivates their use in goodness-of-fit testing, for simple and composite null hypotheses. For composite null hyp...