Conditional Probability Value

A conditional probability value is a probability value of an event, A, and of one or more guaranteed events.

• AKA: Aposteriori Probability, Aposteriori Probability Value, Posterior Probability Value.
• Context:
  • It can be the output of a Conditional Probability Function.
  • It can be a member of a Conditional Probability Distribution, such as in a Joint Probability Table.
• Example(s):
  • ¹/₂ is the conditional probability that a Two-Dice Experiment will result in two even numbers if you know that one of the dice is guaranteed to be even.
• Counter-Example(s):
  • a Marginal Probability Value.
  • a Posterior Probability Value Distribution.
• See: Apriori Probability Value/Prior Probability Value; Posterior Probability Distribution; Bayesian Methods.

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References

2011

• (Webb, 2011j) ⇒ Geoffrey I. Webb. (2011). "Posterior Probability." In: (Sammut & Webb, 2011) p.780

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