Bayes' theorem, named after Thomas Bayes, states that the probability of an event is based on prior knowledge of conditions that might be related to the event.
This is calculated by multiplying the likelihood of the second event given the first event by the probability of the first event.
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In probability theory and statistics , Bayes' theorem (alternatively Bayes' law or Bayes' rule ), named after Thomas Bayes , describes the probability of an event , based on prior knowledge of conditions that might be related to the event
Bayes' theorem - Wikipedia
Bayes' Theorem states that the conditional probability of an event, based on the occurrence of another event, is equal to the likelihood of the second event given the first event multiplied by the probability of the first event.
Bayes' Theorem: What It Is, the Formula, and Examples
Bayes' Theorem is a way of finding a probability when we know certain other probabilities.
This lesson covers Bayes' theorem. Shows how to use Bayes’ rule to solve conditional probability problems. Includes sample problem with step-by-step solution.