Finite mixture models represent complex data by combining several simple probability distributions, each weighted by a mixing proportion. This framework captures heterogeneity in populations or ...

Data clustering is the process of grouping data items so that similar items are placed in the same cluster. There are several different clustering techniques, and each technique has many variations.

Realistic models for multi-dimensional asset distributions are vital for stress testing and risk management. Many statistical learning tools need large datasets and lack transparency. Extending his ...