Definition: Generative model
Index: The Book of Statistical Proofs ▷ General Theorems ▷ Bayesian statistics ▷ Probabilistic modeling ▷ Generative model
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Metadata: ID: D27 | shortcut: gm | author: JoramSoch | date: 2020-03-03, 15:50.
Definition: Consider measured data $y$ and some unknown latent parameters $\theta$. A statement about the distribution of $y$ given $\theta$ is called a generative model $m$
\[\label{eq:gm} m: \, y \sim \mathcal{D}(\theta) \; ,\]where $\mathcal{D}$ denotes an arbitrary probability distribution and $\theta$ are the parameters of this distribution.
- Friston et al. (2008): "Bayesian decoding of brain images"; in: NeuroImage, vol. 39, pp. 181-205; URL: https://www.sciencedirect.com/science/article/abs/pii/S1053811907007203; DOI: 10.1016/j.neuroimage.2007.08.013.
Metadata: ID: D27 | shortcut: gm | author: JoramSoch | date: 2020-03-03, 15:50.