Bayesian Emulation for Sequential Modeling, Inference and Decision Analysis
<p>The advances in three related areas of state-space modeling, sequential Bayesian learning, and decision analysis are addressed, with the statistical challenges of scalability and associated dynamic sparsity. The key theme that ties the three areas is Bayesian model emulation: solving challe...
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2016
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| Online Access: | http://hdl.handle.net/10161/12229 |