Index: The Book of Statistical ProofsGeneral TheoremsBayesian statisticsPrior distributions ▷ Uniform vs. non-uniform

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

  • the distribution is called a “uniform prior”, if its density or mass is constant over $\Theta$;

  • the distribution is called a “non-uniform prior”, if its density or mass is not constant over $\Theta$.

 
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Metadata: ID: D117 | shortcut: prior-uni | author: JoramSoch | date: 2020-12-02, 17:21.