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Posterior Probabilities
The revised probabilities of potential outcomes after taking into account new evidence or information.
Prior Probabilities
Probabilities that are known or assumed before new evidence is introduced, often used in Bayesian inference to update the probability based on new data.
Likelihood Probabilities
The probabilities that reflect the likelihood of different parameter values given a sample of data, used in statistical models and inference.
Expected Value
The sum of all possible values each multiplied by its probability of occurrence, used to determine the average outcome of a random variable.
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