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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