A Bayesian network of eutrophication models for synthesis, prediction, and uncertainty analysis
@article{Borsuk2004ABN, title={A Bayesian network of eutrophication models for synthesis, prediction, and uncertainty analysis}, author={M. Borsuk and C. Stow and K. Reckhow}, journal={Ecological Modelling}, year={2004}, volume={173}, pages={219-239} }
A Bayesian network consists of a graphical structure and a probabilistic description of the relationships among variables in a system. [...] Key Method These models were developed using a range of methods, including: process-based models statistically fit to long-term monitoring data, Bayesian hierarchical modelling of cross-system data gathered from the literature, multivariate regression modelling of mesocosm experiments, and judgements elicited from scientific experts. The ability of the network to…Expand
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