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20162024
most citedNested Kriging predictions for datasets with large number of observations

50 citations · 57 across the 5 of their papers we have counts for

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stat.ML2019★ 1 cited

Approximating Gaussian Process Emulators with Linear Inequality Constraints and Noisy Observations via MC and MCMC

Andrés F. López-Lopera, François Bachoc, Nicolas Durrande +3

Adding inequality constraints (e.g. boundedness, monotonicity, convexity) into Gaussian processes (GPs) can lead to more realistic stochastic emulators. Due to the truncated Gaussi…