A probabilistic graphical model (PGM) is a probabilistic model for which a graph denotes the conditional independence structure between random variables. They are commonly used in probability theory, statistics—particularly Bayesian statistics—and machine learning.

This wiki provides related materials for the study of PGM, especially for course teaching and graduate study. Materials, such as tutorials, theory, books, papers, application papers, and softwares, will be continually collected into this wiki.

This wiki is also a supplementary to the Bayesian Network course in FJU, Taiwan.

Top contributors: