Acceptance-Rejection Sampling with Hierarchical Models
Hierarchical models provide a flexible way of modeling complex behavior. However, the complicated interdependencies among the parameters in the hierarchy make training such models difficult. MCMC methods have been widely used for this purpose, but can often only approximate the necessary distributio...
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| Format: | Others |
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Scholarship @ Claremont
2015
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| Online Access: | http://scholarship.claremont.edu/cmc_theses/1162 http://scholarship.claremont.edu/cgi/viewcontent.cgi?article=2165&context=cmc_theses |