A mixture of experts model for rank data with applications in election studies
Isobel Claire Gormley, Thomas Brendan Murphy

TL;DR
This paper introduces a mixture of experts model for rank data, applied to Irish election preferences, to identify voting blocs and analyze social influences using a novel combination of statistical techniques.
Contribution
It develops a new mixture of experts model for rank data incorporating covariates, with application to electoral studies and voter segmentation.
Findings
Voting blocs in Irish electorate are identified.
Age and government satisfaction influence voting preferences.
Model successfully clusters voters and assesses social factors.
Abstract
A voting bloc is defined to be a group of voters who have similar voting preferences. The cleavage of the Irish electorate into voting blocs is of interest. Irish elections employ a ``single transferable vote'' electoral system; under this system voters rank some or all of the electoral candidates in order of preference. These rank votes provide a rich source of preference information from which inferences about the composition of the electorate may be drawn. Additionally, the influence of social factors or covariates on the electorate composition is of interest. A mixture of experts model is a mixture model in which the model parameters are functions of covariates. A mixture of experts model for rank data is developed to provide a model-based method to cluster Irish voters into voting blocs, to examine the influence of social factors on this clustering and to examine the characteristic…
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