Prior probability refers to the initial estimate of the likelihood of an event occurring before any additional evidence is taken into account. It serves as a foundational component in statistical inference, influencing the calculations of subsequent probabilities, especially when new data is introduced. Prior probability is crucial in Bayesian methods, allowing for the update of beliefs about an event as more information becomes available.
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