Inverse probability, often referred to in the context of Bayesian probability, is the process of determining the probability of a hypothesis given observed evidence. In other words, it involves updating the probability of a certain event or hypothesis in light of new data or observations. This concept contrasts with "forward probability," where one would calculate the likelihood of observing evidence given a certain hypothesis.
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