Seonglae Chofor Bayesian inference
In a posterior distribution that reflects both the data and prior, the probability that the parameter lies within that interval
Credible interval
In Bayesian statistics, a credible interval is an interval used to characterize a probability distribution. It is defined such that an unobserved parameter value has a particular probability to fall within it. For example, in an experiment that determines the distribution of possible values of the parameter , if the probability that lies between 35 and 45 is , then is a 95% credible interval.
https://en.wikipedia.org/wiki/Credible_interval
