… ► We review papers in which Bayesian networks have been applied in environmental
modelling. ► The potential of Bayesian networks is still unexploited in the environmental science …

… The conceptual model we develop satisfies this basic … Bayesian Networks (BNs) to model
project trade-off. The purpose is to provide a quantitative model for trade-off analysis in project …

… the case with the technique of Bayesian networks (BNs). The … , we classified the articles
by project type (Construction & … rail projects (P88), a causal network-based risk matrix model …

… of graphical models, such as Bayesian Networks (Bns), in environmental and natural resource
modelling. … Hence, we start with the Project description as the first step in making a model. …

… Another area of integration is with state-and-transition models (STMs) that are used to project
future proportions or amounts of conditions, such as landscape vegetation conditions and …

… project risk models. We compare the accuracy of predictions and calculation time for models
… Such a situation is inevitable if we seek to use the models for projects beyond their original …

… support model based on Bayesian Networks (BN) for safety control in dynamic complex project
… At first, priori expert knowledge is integrated with training data in model design, aiming to …

… of the model in a real project. The procedure we propose uses Bayesian networks and …
we applied it to build a Bayesian network that models a Scrum-based software development …

… Through unrestricted automatic causality learning from 302 collected software project data,
we demonstrated that the proposed model can not only discover causalities in accordance …

… the way Bayesian networks (Bns) can be applied as a tool for public participatory modelling
in the … By the start of the project we did not know anything about Bns or how to apply Bns in a …