Jump to content

Hyperparameter (Bayesian statistics)

From Wikipedia, the free encyclopedia
This is an old revision of this page, as edited by Melcombe (talk | contribs) at 10:56, 29 May 2008 (revised categories). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.

In Bayesian statistics, a hyperparameter, is a parameter for the prior distribution. In some hierarchical models, such as hierarchical Dirichlet processes, the hyperparameters themselves can have a prior distribution associated with them, called hyperpriors.