Bayesian networks, also known as Bayes nets, belief networks, or decision networks, are a powerful tool for understanding and reasoning about complex systems under uncertainty. They are essentially ...

Bayesian networks are probabilistic graphical models that represent variables as nodes connected by directed edges encoding causal or dependency relations. In fault diagnosis, they enable the ...

Statistical modelling of graphical structures provides a principled framework for representing complex dependencies among multiple variables by means of graphs. In these representations, nodes ...