Bayesian Modeling and Adaptive Monte Carlo with Geophysics Applications
<p>The first part of the thesis focuses on the development of Bayesian modeling motivated by geophysics applications. In Chapter 2, we model the frequency of pyroclastic flows collected from the Soufriere Hills volcano. Multiple change points within the dataset reveal several limitations of ex...
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2013
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| Online Access: | http://hdl.handle.net/10161/8259 |