In Bayesian statistics, a credible interval (or Bayesian confidence interval) is an interval in the domain of a posterior probability distribution used for interval estimation. The generalisation to multivariate problems is the credible region. Credible intervals are analogous to confidence intervals in frequentist statistics.
For example, in an experiment that determines the uncertainty distribution of parameter, if the probability that lies between 35 and 45 is 0.95, then is a 95% credible interval.
Read more about Credible Interval: Choosing A Credible Interval, Contrasts With Confidence Interval
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