Advanced Customer Segmentation with Probabilistic Models

Develop a sophisticated customer segmentation strategy using probabilistic graphical models in Python. Create a Bayesian mixture model that can handle mixed data types (categorical and continuous) from multiple sources. Implement Dirichlet Process Mixture Models for dynamic cluster determination, with automatic feature weighting and interpretability. Include techniques for handling missing data, temporal drift, and model uncertainty quantification.