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90% Credible Interval
In Bayesian statistics, a credible interval is value range or ‘interval’ within which an unobserved parameter value falls with a particular probability. A 90% credible interval indicates that the mean value of the ‘unobserved parameter value’ will fall within this range 90% of the time based on a prior distribution. In Frequency statistics, this is analogous to confidence intervals, however confidence intervals do not require knowledge of a situation-specific prior distribution.
Thanks to Wikipedia for help in correctly wording this description.