Non-parametric log-concave mixtures

Finite mixtures of parametric distributions are often used to model data of which it is known or suspected that there are sub-populations. Instead of a parametric model, a penalized likelihood smoothing algorithm is developed. The penalty is chosen to favor a log-concave result. The standard EM algorithm (“split and fit”) can be used. Theoretical results and applications are presented.