April 15, 2012

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 21

Advanced Data Analysis from an Elementary Point of View

Posted by crshalizi at April 15, 2012 20:01 | permanent link

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