Bayesian prediction and inference in analysis of computer experiments
Gaussian Processes (GPs) are commonly used in the analysis of data from a computer experiment. Ideally, the analysis will provide accurate predictions with correct coverage probabilities of credible intervals. A Bayesian method can, in principle, capture all sources of uncertainty and hence give va...
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| Language: | English |
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University of British Columbia
2013
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| Online Access: | http://hdl.handle.net/2429/44887 |