Finite mixture models are typically inconsistent for the number of components

Scientists and engineers are often interested in learning the number of subpopulations (or clusters) present in a data set. It is common to use a Dirichlet process mixture model (DPMM) for this purpose. But Miller and Harrison (2013) warn that the …

An iterative step-function estimator for graphons

arXiv e-print 1412.2129