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Title: Default Bayesian model determination for generalised linear mixed models
Author: Overstall, Antony Marshall
ISNI:       0000 0004 2685 3968
Awarding Body: University of Southampton
Current Institution: University of Southampton
Date of Award: 2010
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In this thesis, an automatic, default, fully Bayesian model determination strategy for GLMMs is considered. This strategy must address the two key issues of default prior specification and computation. Default prior distributions for the model parameters, that are based on a unit information concept, are proposed. A two-phase computational strategy, that uses a reversible jump algorithm and implementation of bridge sampling, is also proposed. This strategy is applied to four examples throughout this thesis.
Supervisor: Forster, Jonathan Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available
Keywords: QA Mathematics