A credible interval is a range of values within which an unknown parameter is believed to lie, based on a Bayesian analysis. It represents the uncertainty around that parameter, and unlike confidence intervals in frequentist statistics, credible intervals provide a direct probabilistic interpretation. In Bayesian methods, these intervals are calculated using prior distributions and observed data, making them particularly useful in bioinformatics for modeling complex biological phenomena.
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