Multi fidelity models


TBD

Cutajar, Kurt, Mark Pullin, Andreas Damianou, Neil Lawrence, and Javier González. 2019. “Deep Gaussian Processes for Multi-Fidelity Modeling,” March. http://arxiv.org/abs/1903.07320.

Kennedy, Marc C., and Anthony O’Hagan. 2001. “Bayesian Calibration of Computer Models.” Journal of the Royal Statistical Society: Series B (Statistical Methodology) 63 (3): 425–64. https://doi.org/10.1111/1467-9868.00294.

Kennedy, M. C., and A. O’Hagan. 2000. “Predicting the Output from a Complex Computer Code When Fast Approximations Are Available.” Biometrika 87 (1): 1–13. https://doi.org/10.1093/biomet/87.1.1.

Perdikaris, P., M. Raissi, A. Damianou, N. D. Lawrence, and G. E. Karniadakis. 2017. “Nonlinear Information Fusion Algorithms for Data-Efficient Multi-Fidelity Modelling.” Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 473 (2198): 20160751. https://doi.org/10.1098/rspa.2016.0751.

Raissi, Maziar, and George Karniadakis. 2016. “Deep Multi-Fidelity Gaussian Processes,” April. http://arxiv.org/abs/1604.07484.