Impacts of prior parameter distributions on Bayesian evaluation of groundwater model complexity
This study used the marginal likelihood and Bayesian posterior model probability for evaluation of model complexity in order to avoid using over-complex models for numerical simulations. It focused on investigation of the impacts of prior parameter distributions (involved in calculating the marginal...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2018-04-01
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| Series: | Water Science and Engineering |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1674237018300498 |