Bayesian networks in environmental modelling

By P. A. Aguilera, Antonio Fernández, R. Fernández, R. Rumí, A. Salmerón. Environmental Modelling & Software, 2011

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Selecting among five common modelling approaches for integrated environmental assessment and management (2013, background): “BNs also have the capacity to use and integrate different sources of information in order to derive the conditional probability distribution between variables, reducing constraints imposed by lack of data (Aguilera et al., 2011; Chen and Pollino, 2012; Sadoddin et al., 2003; Wintle et al., 2003).”
Inferring Missing Climate Data for Agricultural Planning Using Bayesian Networks (2018, methodology): “The discretization of continuous variables in BN leads to the loss of information [11].”
A review of Bayesian belief networks in ecosystem service modelling (2013, methodology): “These hybrid models still have some limitations such as restrictions on the complexity of the DAG structure (Aguilera et al., 2011).”
Phylogeography unplugged: comparative surveys in the genomic era (2014, background): “The latter component is Conditional Probability Tables (CPTs), which denote the strengths of the relationship among the variables (Aguilera et al. 2011).”