Causal inference and Bayesian network learning are essential areas of research that focus on understanding and modeling the relationships between variables in various fields, including medicine ...

This preference is rooted in a Bayesian framework, where the network architecture determines a prior over functions, favoring simplicity. What is special about this version of Occam's razor is ...