This work compares the performances of three parameterizations for defining parsimonious submodels of binary bidirected graph models. In particular, it shows that the log-mean linear parameterization, recently developed by Roverato and coauthors, provides a useful tool to include in the model additional linear constraints with a clear interpretation in terms of independencies in special subpopulations. The features of the three parameterizations are illustrated through an example based on a data set with seven binary variables.
Binary models of marginal independence: a comparison of different approaches / M., Lupparelli; LA ROCCA, Luca. - ELETTRONICO. - USB Pen:(2012), pp. 1-4. (Intervento presentato al convegno XLVI Scientific Meeting of the Italian Statistical Society tenutosi a Roma nel 20-22 giugno 2012).
Binary models of marginal independence: a comparison of different approaches
LA ROCCA, Luca
2012
Abstract
This work compares the performances of three parameterizations for defining parsimonious submodels of binary bidirected graph models. In particular, it shows that the log-mean linear parameterization, recently developed by Roverato and coauthors, provides a useful tool to include in the model additional linear constraints with a clear interpretation in terms of independencies in special subpopulations. The features of the three parameterizations are illustrated through an example based on a data set with seven binary variables.
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