Posterior probabilities represent the updated probabilities of a hypothesis after considering new evidence. This concept is central to Bayesian statistics, where prior beliefs are combined with observed data to refine estimates about parameters or states, helping in decision-making processes in various fields, including bioinformatics and evolutionary biology.
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