Marginal log-linear parameters for graphical Markov models.

@article{Evans2013MarginalLP,
  title={Marginal log-linear parameters for graphical Markov models.},
  author={Robin J. Evans and Thomas S. Richardson},
  journal={Journal of the Royal Statistical Society. Series B, Statistical methodology},
  year={2013},
  volume={75 4},
  pages={
          743-768
        }
}
  • Robin J. Evans, Thomas S. Richardson
  • Published in
    Journal of the Royal…
    2013
  • Medicine, Mathematics
  • Marginal log-linear (MLL) models provide a flexible approach to multivariate discrete data. MLL parametrizations under linear constraints induce a wide variety of models, including models defined by conditional independences. We introduce a subclass of MLL models which correspond to Acyclic Directed Mixed Graphs (ADMGs) under the usual global Markov property. We characterize for precisely which graphs the resulting parametrization is variation independent. The MLL approach provides the first… CONTINUE READING

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