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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Bibliographic Details
Main Author: Chen, Hao
Language:English
Published: University of British Columbia 2013
Online Access:http://hdl.handle.net/2429/44887