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stat.AP2023
Bayesian feedback in the framework of ecological sciences
Mario Figueira-Pereira, Xavier Barber, David Conesa +4
In ecology we may find scenarios where the same phenomenon (species occurrence, species abundance, etc.) is observed using two different types of samplers. For instance, species da…
stat.AP2023
Employing Bayesian Networks for the Diagnosis and Prognosis of Diseases: A Comprehensive Review
Carlos Segundo Muñoz-Valencia, José Antonio Quesada, Domingo Orozco +1
Background: Bayesian Networks (BNs) are probabilistic graphical models that leverage Bayes' theorem to portray dependencies and cause-and-effect relationships between variables. Th…