Posterior probability is the likelihood of an event occurring after taking into account new evidence or information. It represents an updated probability that reflects the influence of prior beliefs and new data, fundamentally linked to the process of Bayesian inference. This concept plays a crucial role in decision-making under uncertainty, allowing for the refinement of predictions as more information becomes available.
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