Using Hamiltonian Monte Carlo via Stan to estimate crop input response functions with stochastic plateaus
Bayesian analysis provides a principled way to quantify uncertainty and incorporate data and prior knowledge into parameter estimates. This paper makes the latest in Bayesian methods easier for others to use with a focus on a stochastic plateau crop production function. Previous studies have used Ba...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-12-01
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| Series: | Journal of Agriculture and Food Research |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666154321001289 |