Estimating the probability distributions of radioactive concrete in the building stock using Bayesian networks.
An object of class bn.fit. Refer to the documentation of bnlearn for details.
A discrete Bayesian network for evaluating the presence probability of blue concrete (Fig. E1 - Multi-Family Houses, of the referenced paper). Probabilities were given within the referenced paper. The vertices are:
(0-300, 300-600, >600);
(False, True);
(0-150, 150-220, 220-360, 360-1500, >1500);
Wu, P. Y., Johansson, T., Mangold, M., Sandels, C., & Mjornell, K. (2023). Estimating the probability distributions of radioactive concrete in the building stock using Bayesian networks. Expert Systems with Applications, 222, 119812.