Exact Markov chain Monte Carlo and Bayesian linear regression
In this work we investigate the use of perfect sampling methods within the context of Bayesian linear regression. We focus on inference problems related to the marginal posterior model probabilities. Model averaged inference for the response and Bayesian variable selection are considered. Perfect sa...
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| Language: | en |
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University of Canterbury. Mathematics and Statistics
2009
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| Online Access: | http://hdl.handle.net/10092/2534 |