Learning Bayesian decision analysis by doing: lessons from environmental and natural resources management

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Bayesian Structure Learning with Generative Flow Networks (2022, background): “…representing uncertainty about the world in multiple scientiﬁc domains, including medical diagnosis (Lau-ritzen and Spiegelhalter, 1988; Heckerman and Nathwani, 1992), molecular biology (Friedman, 2004; Sebastiani et al., 2005), and ecological modeling (Varis and Kuikka, 1999; Marcot et al., 2006).”
The role of expert opinion in environmental modelling (2012, background): “Climatologists 13 yes Varis and Kuikka (1999)”
Selecting among five common modelling approaches for integrated environmental assessment and management (2013, methodology): “…networks (BNs) are most commonly used in modelling for decision-making and management applications in which uncertainty is a key consideration (see for example Ames, 2002; Bromley et al., 2005; Jenson, 1996; Kuikka et al., 1999; Newton, 2010; Pearl, 1990; Varis, 2002; Varis and Kuikka, 1999).”
A Bayesian network of eutrophication models for synthesis, prediction, and uncertainty analysis (2004, background): “Bayesian networks are only beginning to be applied by ecological modellers (Varis and Kuikka, 1999), and applications to date include fisheries assessment (Lee and Rieman, 1997; Kuikka et al.”