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Bayesian Networks for Structured Equation Modeling


I am looking for tools/approach/... on how to use bayesian networks in Structured Equation Modeling.
Any suggestions on articles/books to refer?


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Tags: (SEM), bayesian, equation, modeling, networks, structured


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Comment by Manjula on January 1, 2009 at 1:39am
Thanks a ton Lionel.
You inputs were very useful. We have actually used the free version of the tool to implement it.

Comment by Lionel Jouffe on December 22, 2008 at 4:27pm

You will find below a link to a presentation describing how we propose to use Bayesian networks and data mining as a pragmatic alternative to Structural Equation Modeling, PLS and Path Analysis.

The main steps of the workflow are:
- Unsupervised learning to discover the direct probabilistic relations between the Manifest variables
- Variable clustering based on non linear measures to discover the Factors
- Multiple clustering to create a hidden variable per Factor
- Unsupervised learning with Manifest and Factor variables


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