N. L. Zhang and H. Guo, Introduction to Bayesian Networks, Science Press, Beijing,  2006

Lecture Notes

• Chapter 0: Introduction        
• Chapter 1: Multivariate Probability & Information Theory  
• Chapter 2: Bayesian Networks --- The concept   
• Chapter 3: D-Separation
• Chapter 4: Inference: The VE Algorithm part1 part2
• Chapter 5: Inference as Message Propagation
• Chapter 6: Approximate Inference
• Chapter 7: Parameter Learning part1 part2
• Chapter 8: Structure Learning
• Chapter 9: Learning Latent Structures
• Chapter 10: Application to Traditional Chinese Medicine

Latex sources are available on request.