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
Famous quotes containing the words credible and/or interval:
“Precisely because we do not communicate by singing, a song can be out of place but not out of character; it is just as credible that a stupid person should sing beautifully as that a clever person should do so.”
—W.H. (Wystan Hugh)
“I was interested to see how a pioneer lived on this side of the country. His life is in some respects more adventurous than that of his brother in the West; for he contends with winter as well as the wilderness, and there is a greater interval of time at least between him and the army which is to follow. Here immigration is a tide which may ebb when it has swept away the pines; there it is not a tide, but an inundation, and roads and other improvements come steadily rushing after.”
—Henry David Thoreau (1817–1862)