Prior probability refers to the initial estimation of the likelihood of an event occurring before any new evidence or information is taken into account. It serves as a foundational concept in Bayesian statistics, influencing how we update our beliefs about uncertain events as new data is observed. This concept is crucial when assessing the probabilities of various outcomes in a random process, providing a baseline from which adjustments can be made as more information becomes available.
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