Bayesian Inference for Simulator Output
In Chap. 3 the correlation and precision parameters are completely unknown for the process model assumed to generate simulator output. In contrast this chapter assumes that the researcher has prior knowledge about the unknown parameters that is quantifiable in the form of a prior distribution.
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