Lewis Paton
A robust Bayesian analysis of the impact of policy decisions on crop rotations
Paton, Lewis; Troffaes, Matthias C.M.; Boatman, Nigel; Hussein, Mohamud; Hart, Andy
Authors
Professor Matthias Troffaes matthias.troffaes@durham.ac.uk
Professor
Nigel Boatman
Mohamud Hussein
Andy Hart
Contributors
T. Augustin
Editor
S. Doria
Editor
E. Miranda
Editor
E. Quaeghebeur
Editor
Abstract
We analyse the impact of a policy decision on crop rotations, using the imprecise land use model that was developed by the authors in earlier work. A specific challenge in crop rotation models is that farmer’s crop choices are driven by both policy changes and external non-stationary factors, such as rainfall, temperature and agricultural input and output prices. Such dynamics can be modelled by a non-stationary stochastic process, where crop transition probabilities are multinomial logistic functions of such external factors. We use a robust Bayesian approach to estimate the parameters of our model, and validate it by comparing the model response with a non-parametric estimate, as well as by cross validation. Finally, we use the resulting predictions to solve a hypothetical yet realistic policy problem.
Citation
Paton, L., Troffaes, M. C., Boatman, N., Hussein, M., & Hart, A. (2015, July). A robust Bayesian analysis of the impact of policy decisions on crop rotations. Presented at ISIPTA 2015, 9th international symposium on imprecise probability : theories and applications., Pescara, Italy
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | ISIPTA 2015, 9th international symposium on imprecise probability : theories and applications. |
Start Date | Jul 20, 2015 |
End Date | Jul 24, 2015 |
Acceptance Date | May 19, 2015 |
Publication Date | Jul 24, 2015 |
Deposit Date | Feb 18, 2015 |
Publicly Available Date | Jun 17, 2015 |
Pages | 217-226 |
Book Title | ISIPTA ’15 : proceedings of the 9th International Symposium on Imprecise Probability : Theories and Applications, 20-24 July 2015, Pescara, Italy. |
Keywords | Multinomial logistic regression, Stochastic process, Robust Bayesian, Conjugate, Maximum likelihood, Crop, Decision. |
Public URL | https://durham-repository.worktribe.com/output/1152551 |
Publisher URL | http://www.sipta.org/isipta15/?pag=proceedings |
Additional Information | 20-24 July 2015 |
Files
Accepted Conference Proceeding
(380 Kb)
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