Nonparametric Bayesian label prediction on a graph

This article describes an implementation of a nonparametric Bayesian approach to solving binary classification problems on graphs. We consider a hierarchical Bayesian approach with a randomly scaled Gaussian prior. We have two simulated data examples and two examples using real data to illustrate our proposed methods.