Bayesian Hierarchical Modeling for Integrating Low-Accuracy and High-Accuracy Experiments

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Summary

Some Bayesian hierarchical Gaussian process models are proposed, which tend to produce prediction closer to that from the high-accuracy experiment.

Type
article
Published
2008-05-01
Cited by
391
References
37

Keywords

Computer science, Markov chain Monte Carlo, Bayesian probability, Computation, Monte Carlo method

References

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