Learning Probabilistic Graphical Models in R

Table of Contents

1. Probabilistic Reasoning
2. Exact Inference
3. Learning parameters
4. Bayesian modeling : Basic models
5. Approximate inference
6. Bayesian modeling: Linear models
7. Probabilistic Mixture Models
8. Appendix