Bayes Linear Emulation of Simulated Crop Yield

@article{Hasan2012BayesLE,
  title={Bayes Linear Emulation of Simulated Crop Yield},
  author={Muhammad Mahmudul Hasan and Jonathan A. Cumming},
  journal={Applied Statistics and Data Science},
  year={2012}
}
  • Muhammad Mahmudul Hasan, J. Cumming
  • Published 24 February 2012
  • Mathematics
  • Applied Statistics and Data Science
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 fertiliser 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… 

Figures from this paper

References

SHOWING 1-4 OF 4 REFERENCES
The EPIC crop growth model
ABSTRACT The EPIC plant growth model was developed to estimate soil productivity as affected by erosion throughout the U.S. Since soil productivity is expressed in terms of crop yield, the model must
Bayes linear uncertainty analysis for oil reservoirs based on multiscale computer experiments.
Reservoir simulators are important and widely-used tools for oil reservoir management. These simulators are computer implementations of high-dimensional mathematical models for reservoirs, where the
Bayes Linear Statistics: Theory and Methods
The text provides a thorough coverage of Bayes linear analysis, from the development of the basic language to the collection of algebraic results needed for efficient implementation, with detailed
Bayes Linear Statistics