Functional regression approximate Bayesian computation for Gaussian process density estimation

G. S. Rodrigues, David J. Nott, S. A. Sisson

We propose a novel Bayesian nonparametric method for hierarchical modelling on a set of related density functions, where grouped data in the form of samples from each density funct…