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16 changes: 13 additions & 3 deletions docs/overview/overview_3_features.md
Original file line number Diff line number Diff line change
Expand Up @@ -153,7 +153,17 @@ captured using a rectangular mesh:
Checkout `autogalaxy_workspace/notebooks/features/pixelizations.ipynb` to learn how to use a pixelization, however
this is a more advanced feature and it is recommended you first get to grips with the core API.

## Other
## Graphical Models

- Automated pipelines / database tools.
- Graphical models.
The examples above fit each galaxy dataset one-by-one. However, many galaxy properties are shared across a
sample (e.g. the population's distribution of Sersic indices or sizes), and fitting galaxies independently does
not exploit this shared structure.

Graphical models fit multiple datasets simultaneously, explicitly defining which parameters are unique to each
galaxy and which are shared across the sample. Hierarchical extensions assume parameters are drawn from a parent
distribution, whose properties are inferred from the full sample, extracting significantly more information
than one-by-one fitting. This is a powerful tool for galaxy evolution studies of large samples, for example
measuring how the galaxy population's structural properties vary with mass or redshift.

Checkout `autofit_workspace/*/features/graphical_models.py` to learn how to compose and fit a graphical model;
the API applies directly to the galaxy fits shown throughout this workspace.
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