### Graphical Models (Advanced Data Analysis from an Elementary Point of View)

Conditional independence and dependence properties in factor models. The
generalization to graphical models. Directed acyclic graphs. DAG models.
Factor, mixture, and Markov models as DAGs. The graphical Markov property.
Reading conditional independence properties from a DAG. Creating conditional
dependence properties from a DAG. Statistical aspects of DAGs. Reasoning with
DAGS; does asbestos whiten teeth? Appendix: undirected graphical models, the
Gibbs-Markov theorem; directed but cyclic graphical models. Appendix: Some
basic notions of graph theory; Guthrie diagrams.

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Advanced Data Analysis from an Elementary Point of
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