Mariza Ferro

Data-driven Bayesian Network structure learning for probabilistic inference of rainfall in Rio de Janeiro

Abstract Bayesian Networks (BNs) provide an interpretable probabilistic framework for modeling uncertainty in complex environmental systems. This study proposes a data-driven Bayesian Network (BN) to represent probabilistic relationships among meteorological variables and precipi...