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

  1. Definitions and Fundamentals
  2. Models and Distributional Assumptions
  3. Probabilistic Inference
  4. Structure Learning
  5. Causal Inference

Reading List:

"Bayesian Networks with Examples in R," Routhledge, (2022) link
"Causal Inference in Statistics: A Prime", Wiley & Sons Ltd, (2016) link