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Bayesian probability
| Part of a series on |
| Bayesian statistics |
|---|
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| Posterior = Likelihood × Prior ÷ Evidence |
| Background |
| Model building |
| Posterior approximation |
| Estimators |
| Evidence approximation |
| Model evaluation |
Bayesian probability figures out the likelihood that something will happen based on available evidence. This is different from frequency probability which determines the likelihood something will happen based on how often it occurred in the past.
You might use Bayesian probability if you don't have information on how often the event happened in the past.
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