Prior probability, often referred to simply as "prior," is a fundamental concept in Bayesian statistics. It represents the probability of an event or hypothesis before any new evidence or data is taken into account. In other words, the prior reflects what is known or believed about the event before observing any occurrences of it or collecting new data.
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