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Showing 1 to 1 of 1 for “"nonstationary modeling"”.
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Bayesian Uncertainty Quantification while Leveraging Multiple Computer Model Runs
… Gaussian process regression is a very common modeling approach. Given observational data, kriging equations will provide the best linear unbiased predictor for the mean at unobserved locations. However, when a computer model provides a complete grid of forecasted values, kriging will not …