Muhammad Mahmudul Hasan muhammad.m.hasan@durham.ac.uk
PGR Student Doctor of Philosophy
Muhammad Mahmudul Hasan muhammad.m.hasan@durham.ac.uk
PGR Student Doctor of Philosophy
Dr Jonathan Cumming j.a.cumming@durham.ac.uk
Associate Professor
Yogendra P. Chaubey
Editor
Salim Lahmiri
Editor
Fassil Nebebe
Editor
Arusharka Sen
Editor
The analysis of the output from a large-scale computer simulation experiment can pose a challenging problem in terms of size and computation. We consider output in the form of simulated crop yields from the Environmental Policy Integrated Climate (EPIC) model, which requires a large number of inputs—such as fertilizer levels, weather conditions, and crop rotations—inducing a high dimensional input space. In this paper, we adopt a Bayes linear approach to efficiently emulate crop yield as a function of the simulator fertilizer inputs. We explore emulator diagnostics and present the results from emulation of a subset of the simulated EPIC data output.
Hasan, M. M., & Cumming, J. A. (2021). Bayes Linear Emulation of Simulated Crop Yield. In Y. P. Chaubey, S. Lahmiri, F. Nebebe, & A. Sen (Eds.), Applied Statistics and Data Science:Proceedings of Statistics 2021 Canada, Selected Contributions (145-151). Springer Verlag. https://doi.org/10.1007/978-3-030-86133-9_7
Online Publication Date | Feb 24, 2021 |
---|---|
Publication Date | 2021-02 |
Deposit Date | Jan 18, 2022 |
Publicly Available Date | Feb 24, 2022 |
Publisher | Springer Verlag |
Pages | 145-151 |
Series Title | Springer Proceedings in Mathematics & Statistics |
Series Number | 375 |
Book Title | Applied Statistics and Data Science:Proceedings of Statistics 2021 Canada, Selected Contributions |
ISBN | 978-3-030-86132-2 |
DOI | https://doi.org/10.1007/978-3-030-86133-9_7 |
Public URL | https://durham-repository.worktribe.com/output/1622714 |
Related Public URLs | https://arxiv.org/abs/2109.10208 |
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This a post-peer-review, pre-copyedit version of a chapter published in Applied Statistics and Data Science
Proceedings of Statistics 2021 Canada, Selected Contributions. The final authenticated version is available online at: https://doi.org/https://doi.org/10.1007/978-3-030-86133-9_7
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