*********
Tutorials
*********

.. _models_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.

.. toctree::
   :maxdepth: 1
   :titlesonly:

   markovian/example-pc-algo

