• Corpus ID: 246062384

A graphical multi-fidelity Gaussian process model, with application to emulation of expensive computer simulations

@inproceedings{Ji2021AGM,
  title={A graphical multi-fidelity Gaussian process model, with application to emulation of expensive computer simulations},
  author={Yi Ji and Simon Mak and Derek Soeder and Jean-François Paquet and Steffen A. Bass},
  year={2021}
}
With advances in scientific computing and mathematical modeling, complex phenomena can now be reliably simulated. Such simulations can however be very timeintensive, requiring millions of CPU hours to perform. One solution is multi-fidelity emulation, which uses data of varying accuracies (or fidelities) to train an efficient predictive model (or emulator) for the expensive simulator. In complex problems, simulation data with different fidelities are often connected scientifically via a… 
1 Citations

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