AI engineering glossary · Probability
What is joint distribution?
Joint distribution: A distribution that assigns probabilities to every combination of values of two or more random variables at once. From it one can obtain the marginal and conditional distributions, so it contains all information about how the variables relate.
Joint distribution: an example
A table giving the probability of each pair (device type, purchased or not) is a joint distribution.
Related terms
More Probability terms
- Joint probability
- KL divergence
- Law of large numbers
- Law of total expectation
- Law of total probability
- Likelihood
- Linearity of expectation
- Marginal distribution
Where you learn it
Joint distribution is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.