Regression using hybrid Bayesian networks: Modelling landscapesocioeconomy relationships
Hybrid Bayesian networks are applied to solve environmental regression problems. The hybrid framework uses the Mixture of Truncated Exponentials (MTE) model. MTEs allow to have discrete and continuous variables in the model simultaneously. The approach is applied to model landscape-socioeconomy relationships. The influence of different socioeconomic scenarios on the landscape is evaluated.
regression landscape mixtures of truncated exponentials continuous bayesian networks socioeconomic structure