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Latest revision as of 10:18, 7 April 2008
In the Bayesian framework, the prior distribution of the variable is called an informative prior if it provide some specific information about the variable. Informative priors allows to incorporate a prior somewhat defined knowledge about the random variable under consideration. (See also: Uninformative Prior and Prior)
