Tutorial: Graphical Models and Bayesian Networks with R

Tutorial given at the useR! 2014 conference in Los Angeles
Søren Højsgaard, Department of Mathematical Sciences, Aalborg University, Denmark.


Introduce participants to using R for working with graphical models (in particular graphical log-linear models for discrete data (contingency tables)) and to probability propagation in Bayesian networks.


There will be a running example about building a probabilistic expert system for a medical diagnosis from real-world data.


Attendees are assumed to have a working understanding of log-linear models for contingency tables.

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