Using MixEst, you can fit arbitrary distributions (usually mixture models) to your data set by various optimization techniques, with minimal effort. The toolbox architecture is based on defining all the distributions in a compatible way, such that each distribution exposes a common interface for calculating things such as the log-likelihood or entropy.