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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