Robust Gaussian stochastic process emulation

Volume: 46, Issue: 6A
Published: Dec 1, 2018
Abstract
We consider estimation of the parameters of a Gaussian Stochastic Process (GaSP), in the context of emulation (approximation) of computer models for which the outcomes are real-valued scalars. The main focus is on estimation of the GaSP parameters through various generalized maximum likelihood methods, mostly involving finding posterior modes; this is because full Bayesian analysis in computer model emulation is typically prohibitively...
Paper Details
Title
Robust Gaussian stochastic process emulation
Published Date
Dec 1, 2018
Volume
46
Issue
6A
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