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On the Properties of MVR Chain Graphs
[article]
2019
arXiv
pre-print
Depending on the interpretation of the type of edges, a chain graph can represent different relations between variables and thereby independence models. Three interpretations, known by the acronyms LWF, MVR, and AMP, are prevalent. Multivariate regression chain graphs (MVR CGs) were introduced by Cox and Wermuth in 1993. We review Markov properties for MVR chain graphs and propose an alternative global and local Markov property for them. Except for pairwise Markov properties, we show that for
arXiv:1803.04262v7
fatcat:yygfiwyb65fnxnkqch23szf5oy