A credible interval is a range of values within which an unknown parameter is believed to lie with a specified probability, based on posterior distributions in Bayesian analysis. It provides a Bayesian alternative to the confidence interval found in frequentist statistics, incorporating prior beliefs and observed data to produce this range. Unlike confidence intervals, which are fixed for a given dataset, credible intervals reflect the updated beliefs about the parameter after observing the data.
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