Carlos Enrique Améndola Cerón
Kamillo Hugh Ferry
01.04.2023 – 31.03.2026
Max-linear Bayesian networks have emerged from the need to model cause and effect relations between large observed values of several variables. The structural equations that govern these relations via the model parameters can be reinterpreted in the language of tropical geometry. We will exploit this geometric connection to gain new insights on the possible combinatorial structures on the support of the random variables. This will allow us to obtain results pertaining to the statistical problem of parameter estimation for these networks from given data.
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