1. markov random field
a set of random variables having a Markov property described by an undirected graph
2. Bayesian network
a probabilistic graphical model (a type of statistical model) that represents a set of random variables and their conditional dependencies via a directed acyclic graph (DAG).
- Bayesian network 와 markov random field가 비슷하지만, Bayesian network 는 DAG인데 반해, markov random field 는 cyclic dependencies 를 표현 할 수 있다.
- 하지만 induced dependencies 와 같은 어떤 dependencies 는 표현할 수 없다.
3. Clique
