A Graphical Representation of Equivalence Classes of AMP Chain Graphs
The Journal of Machine Learning Research
Learning AMP chain graphs and some marginal models thereof under faithfulness
International Journal of Approximate Reasoning
Hi-index | 0.00 |
This paper deals with different chain graph interpretations and the relations between them in terms of representable independence models. Specifically, we study the Lauritzen-Wermuth-Frydenberg, Andersson-Madigan-Pearlman and multivariate regression interpretations and present the necessary and sufficient conditions for when a chain graph of one interpretation can be perfectly translated into a chain graph of another interpretation. Moreover we also present a feasible split for the Andersson-Madigan-Pearlman interpretation with similar features as the feasible splits presented for the other two interpretations.