Law of Total Probability
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A Law of Total Probability is a rule that relates marginal probabilities to conditional probabilities.
- AKA: LOTP.
- See: Prior Probability, Expected Probability, Posterior Probability, Law of Total Expectation, Marginal Probability, Conditional Probabilities.
References
2014
- (Wikipedia, 2014) ⇒ http://en.wikipedia.org/wiki/Law_of_total_probability Retrieved:2014-10-29.
- In probability theory, the law (or formula) of total probability is a fundamental rule relating marginal probabilities to conditional probabilities. It expresses the total probability of an outcome which can be realized via several distinct events, hence the name.