AI engineering glossary · Probability
What is marginal probability?
Marginal probability: The probability of a single event or variable taken on its own, found by summing the joint probabilities over every value of the other variables. It is called marginal because in a table of counts it appears in the margins.
Marginal probability: an example
If P(male, buys) = 0.2 and P(female, buys) = 0.3, then the marginal probability of buying is 0.2 + 0.3 = 0.5.
Related terms
More Probability terms
- Markov chain
- Markov chain Monte Carlo
- Markov property
- Markov's inequality
- Maximum likelihood estimation
- Median
- Memoryless property
- Mode
Where you learn it
Marginal probability is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.