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Bayesian Inference
Bayesian
inference is then based on the posterior distribution
–Point estimates:
•A summary measure of
the posterior probability distribution (mean, median, mode)
–Interval estimates:
•Set of hypotheses
having the highest posterior density
–Decisions
(tests):
•Reject a hypothesis if
its posterior probability is low
•Quantify the posterior
probability of the hypothesis