Below is a fairly standard notation for dealing with Bayesian formulae and Bayesian networks, which you may need to look at to decipher some of our posts.

- : is a proper subset of
- : is a proper subset of or equal to
- : set with all elements of removed
- : the empty set
- : the union of and
- : the intersection of and
- : is a member of set
- : the number of objects in set
- :
- : a set of sets indexed by
- : the union of all
- : or
- : and
- : is equivalent to
- : not
- : for all
*N!*: factorial- : A variable
- : The variable takes value
- :
- : (prior, marginal) probability of
- : (prior, marginal) probability of
- : probability that takes value
- : probability of given evidence
- : is independent of given
- : is d-separated from by
- : posterior distribution over
- : set of parent nodes of
- : an undirected link
- : a directed link
- : assignment
- : the expected value of
- : the expected value of
- : the expected utility of action , given evidence
- : the utility of outcome , given action
- : the integral of from to
- : the sum of indexed by
- : the product of indexed by
- : The number of ways of taking a subset of j objects from a set of size n