2014 BayesiaLab User Conference Presentations
Causal Analysis with Structural Equation Models and Bayesian Networks
Dr. Lionel Jouffe
CEO, Bayesia S.A.S., France
Recorded on September 24, 2014, at UCLA.
Throughout the BayesiaLab User Conference program, participants have heard extensively about the theory of causal analysis with graphical models. This was the focus of Dr. Elwert's 2-day course, Sep. 19-20, and Dr. Pearl's keynote on Sep. 23.
In this presentation, we show how these theoretical causal concepts can be translated immediately for use in practical research with the BayesiaLab software platform. BayesiaLab offers a wide array of features that were specifically developed for causal analysis, such as Path Analysis, Likelihood Matching, Intervention, Total and Direct Effects.