# Definition: Joint likelihood

**Index:**The Book of Statistical Proofs ▷ General Theorems ▷ Bayesian statistics ▷ Probabilistic modeling ▷ Joint likelihood

**Definition:** Let there be a generative model $m$ describing measured data $y$ using model parameters $\theta$ and a prior distribution on $\theta$. Then, the joint probability density function of $y$ and $\theta$ is called the joint likelihood:

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**Metadata:**ID: D31 | shortcut: jl | author: JoramSoch | date: 2020-03-03, 16:36.