Marginal log-linear parameters for graphical Markov models.
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...
| Main Authors: | , |
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| Format: | Journal article |
| Language: | English |
| Published: |
2013
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