Posterior odds refer to the ratio of the probabilities of two competing hypotheses after observing new evidence. It is a key concept in Bayesian statistics, where it helps update our beliefs about the likelihood of different hypotheses based on prior information and new data. By comparing how likely one hypothesis is relative to another given the evidence, posterior odds provide a clear framework for decision-making under uncertainty.
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