A joint query calculates the joint probability of multiple variables.

joint queries are useful when you want to know the probability of **X** AND **Y**, rather than the probability of
**X** given **Y** (X and Y may contain more than one variable).

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If the query contains a subset of variables in the Bayesian network then the joint query is a Marginal probability. |

Variables in a joint query can be discrete, continuous or a mixture of both.

Temporal variables are also supported, and the same temporal variable can occur more than once at different times in a joint query.

A few examples of a joint query are shown below.

P(A,B,C)

P(X[t=0],Y[t=0])

P(X[t=0],X[t=5])

P(A, X[t=0])

An example of a joint query over two discrete variables is shown below:

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Note than the sum over all entries is 1 |