Posterior probability is the probability of an event occurring after taking into account new evidence or information. It plays a crucial role in updating beliefs based on observed data, allowing for a more informed decision-making process as it reflects the updated understanding of uncertainty. This concept is tightly linked to conditional probability, where the initial beliefs are modified according to new information, and it forms the basis of Bayesian inference and decision-making frameworks.
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