References

Slides and exercises from the Bayesian Machine Learning DTU course, by M. R. Andersen

Book: Pattern Recognition and Machine Learning, by C. M. Bishop

Blog article: Deep Understanding of Discriminative and Generative Models in Machine Learning, by C. Goyal

Blog article in Towards Data Science: Classifier Calibration, by D. Poulopoulos

Book: Stan Reference Manual, by The Stan Development Team (Chap 16 - Posterior Analysis)

Documentation: Gaussian Mixture models, "scikit learn" Python library