Articles | Volume 14, issue 8
https://doi.org/10.5194/gmd-14-5205-2021
https://doi.org/10.5194/gmd-14-5205-2021
Development and technical paper
 | 
18 Aug 2021
Development and technical paper |  | 18 Aug 2021

Copula-based synthetic data augmentation for machine-learning emulators

David Meyer, Thomas Nagler, and Robin J. Hogan

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Latest update: 24 Apr 2024
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Short summary
A major limitation in training machine-learning emulators is often caused by the lack of data. This paper presents a cheap way to increase the size of training datasets using statistical techniques and thereby improve the performance of machine-learning emulators.