Introduction to Probabilistic Modeling with Bayesian Networks

Prof. Peter Haddawy
Faculty of ICT, Mahidol University

06 July 2017, 9:15-17:00
Leibniz-Institut für Präventionsforschung und Epidemiologie – BIPS GmbH
Achterstraße 30
28359 Bremen
room 2.690

This is a one-day hands-on course that will introduce participants to the basic concepts of Bayesian networks and how to use them to model various problems, with particular emphasis on population level infectious disease models. Participants are assumed to have a basic knowledge of probability and be computer literate. Hands-on practice will be interleaved with the lecture and will make use of the Netica Bayes net package. Students who want to take the course should bring a laptop so they can participate in the hands-on training.

The course will cover the following topics:

  • Brief review of Bayesian probability theory
  • Bayesian network representational concepts
  • Building models
  • Case study: Breast cancer diagnosis
  • Learning models from data
  • Dynamic Bayesian networks
  • Case study: Spatiotemporal modeling for malaria prediction
  • Evaluating Models: ROC analysis