Gaussian Processes and Model Emulation

Marcel van Oijen ()

Chapter Chapter 14 in Bayesian Compendium, 2020, pp 93-105 from Springer

Abstract: Abstract Sampling-based estimation of the posterior distribution is computationally demanding. We have already mentioned the continuing search for efficient MCMC algorithms. MCMC is especially slow when the model of interest is a process-based model (PBM) with a long run-time. In such cases it may be good to replace the PBM with a faster surrogate model.

Date: 2020
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DOI: 10.1007/978-3-030-55897-0_14

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