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 - Other Buildings, of the referenced paper). Probabilities were given within the referenced paper. The vertices are:
(0-300, 300-600, >600);
(False, True);
(1930-1955, 1955-1960, 1960-1968, 1968-1975, 1975-1980);
(0-150, 150-220, 220-360, 360-1500, >1500);
(0, 1, 2, 3, 4);
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.