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Research project:?Bayesian modelling of multivariate categorical data

Currently Active:
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Bayesian modelling of multivariate categorical data, often expressed in the form of a contingency table allows prior information to be incorporated into the analysis of data, and coherent inference summaries to be computed in the light of complex uncertainty, for example concerning model structure.

Research in this area includes methods for quantifying prior information about complex categorical structures, and methodology for computing inference summaries.

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