April 09, 2013

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?

Reading: Notes, chapter 20

Advanced Data Analysis from an Elementary Point of View

Posted at April 09, 2013 10:30 | permanent link

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