Posterior probability is the probability of a hypothesis being true after observing new evidence, calculated using Bayes' Theorem. This term highlights the importance of updating our beliefs in light of new data, making it essential for Bayesian inference and understanding how prior beliefs evolve when new information is introduced.
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