A credible interval is a range of values within which an unknown parameter lies with a specified probability, according to a Bayesian framework. This concept is closely linked to prior and posterior distributions, as it utilizes the information provided by the prior beliefs about the parameter and updates these beliefs with observed data to form the posterior distribution. In essence, credible intervals provide a way to summarize uncertainty about an estimate after taking into account prior knowledge and evidence from new data.
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