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, Lupparelli and La Rocca (2012) 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

LUPPARELLI, MONIA;
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, Lupparelli and La Rocca (2012) 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
Società Italiana di Statistica: Proceedings of the XLVIScientific Meeting
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Lupparelli M.; La Rocca L.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/117279
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