Bayesian network or belief network is a graphical model to represent a set of random variables and their conditional dependencies. It is a directed acyclic graph(DAG)

An example:

A circle is a variable
CSa and CSb is two hidden variable. Hidden variable mean that CSa and CSb could not be observe directly, they must observe through Waa and Wbb
RWa and RWb is the variables that could be observed directly
All the gray variables are the expected variables

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