Theoretical Statistics
A Bayesian network is a graphical model that represents a set of variables and their conditional dependencies via a directed acyclic graph. It allows for the modeling of complex relationships between variables using probabilities, making it a powerful tool in reasoning under uncertainty. This concept connects closely with the application of Bayes' theorem, which underlies the probabilistic reasoning in Bayesian networks, and is essential for Bayesian estimation methods that refine these networks based on observed data.
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