Introduction How to determine the number of components in a mixture model for high-dimensional data? –Stochastic and resampling (Slow) Implementation of model selection criteria Fully Bayesian way –Deterministic (Fast) Approximate Bayesian criteria Information/coding theory concepts –Minimal message length (MML) –Akaike’s information criterion (AIC)