Good practice in Bayesian network modelling

By Serena H. Chen, Carmel A. Pollino. Environmental Modelling & Software, 2012

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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).”
Tools and methods in participatory modeling: Selecting the right tool for the job (2018, background): “The graphical representation makes BN intuitive and useful for communicating model assumptions, uncertainty and the complex interactions among variables, especially with non-technical stakeholder groups (Carmona et al., 2013; Castelletti and Soncini-Sessa, 2007; Chen and Pollino, 2012).”
A review of Bayesian belief networks in ecosystem service modelling (2013, methodology): “Applications in environmental modelling include habitat suitability models, risk assessments, management evaluation, decision support and, more recently, ESS modelling (e.g. Chen and Pollino, 2012; Haines-Young, 2011; Smith et al., 2007; Tremblay et al., 2004; Tattari et al., 2003).”