Index: The Book of Statistical ProofsGeneral TheoremsBayesian statisticsPrior distributions ▷ Empirical vs. non-empirical

Definition: Let $p(\theta \vert m)$ be a prior distribution for the parameter $\theta$ of a generative model $m$. Then,

  • the distribution is called an “empirical prior”, if it has been derived from empirical data;

  • the distribution is called a “theoretical prior”, if it was specified without regard to empirical data.

 
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Metadata: ID: D119 | shortcut: prior-emp | author: JoramSoch | date: 2020-12-02, 17:37.