3 papers
stat.ME2025
Minimum bounding polytropes for estimation of max-linear Bayesian networks
Kamillo Ferry
Max-linear Bayesian networks are recursive max-linear structural equation models represented by an edge weighted directed acyclic graph (DAG). The identifiability and estimation of…
stat.ML2025
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…
math.CO2024
Tropical combinatorics of max-linear Bayesian networks
Carlos Améndola, Kamillo Ferry
A polytrope is a tropical polyhedron that is also classically convex. We study the tropical combinatorial types of polytropes associated to weighted directed acyclic graphs (DAGs).…