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Bayesian statistics
(redirected from Bayesian inference)

   Also found in: Medical, Encyclopedia, Wikipedia 0.04 sec.

Bayesian statistics

Form of statistics that uses the knowledge of prior probability together with the probability of actual data to determine posterior probabilities, using Bayes' theorem.



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From a statistical perspective, this usage represents methodology that is neither totally frequentist nor totally Bayesian, but can be viewed as an approximate solution to a Bayesian inference problem.
He assumes that his readers are familiar with Bayesian inference, Akaike's final prediction error criterion for model selection, the Dickey-Fuller test for a unit root, two-stage least squares estimation procedures, and much else.
 
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