# Tutorials#

## Basic causal discovery models without latent confounders#

The first tutorial presents several algorithms for causal discovery without latent confounding: the Peters and Clarke (PC) algorithm.
These models provide a basis for learning causal structure from data when we make the **assumption** that there are
no latent confounders.