Inference for max-linear Bayesian networks with noise

Mark Adams, Kamillo Ferry, Ruriko Yoshida

Max-Linear Bayesian Networks (MLBNs) provide a powerful framework for causal inference in extreme-value settings; we consider MLBNs with noise parameters with a given topology in t…