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
2012-01-01

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.
2012
XLVI Scientific Meeting of the Italian Statistical Society
Roma
20-22 giugno 2012
USB Pen
1
4
M., Lupparelli; LA ROCCA, Luca
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.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/738081
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