Bayesian Networks in Policy and Society
Dr. Marco Scutari, Senior Researcher in Bayesian Networks and Graphical Models, Istituto Dalle Molle di Studi sull'Intelligenza Artificiale (IDSIA), Polo Universitario Lugano, Switzerland
Course Objective
This course introduced attendees to recent developments of Bayesian Networks using the statistical language R.
Topics Covered
- Definitions and Fundamentals
- Models and Distributional Assumptions
- Probabilistic Inference
- Structure Learning
- Causal Inference
Reading List:
"Bayesian Networks with Examples in R," Routhledge, (2022) link
"Causal Inference in Statistics: A Prime", Wiley & Sons Ltd, (2016) link