.. _sphx_glr_auto_examples_intro:

Introduction to causal graphs
-----------------------------



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    <div class="sphx-glr-thumbnails">

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    <div class="sphx-glr-thumbcontainer" tooltip="A path p is called an inducing path relative to &lt;L,S&gt; on an mixed-edge graph with directed and bidirected edges, where every non-endpoint vertex on p is either in L or a collider, and every collider on p is an ancestor of either X , Y or a member of S.">

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  .. image:: /auto_examples/intro/images/thumb/sphx_glr_inducing_path_thumb.png
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  :ref:`sphx_glr_auto_examples_intro_inducing_path.py`

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      <div class="sphx-glr-thumbnail-title">An introduction to Inducing Paths and how to find them</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="Causal graphs are graphical objects that attach causal notions to each edge and missing edge. We will review some of the fundamental causal graphs used in causal inference, and their differences from traditional graphs.">

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  .. image:: /auto_examples/intro/images/thumb/sphx_glr_intro_causal_graphs_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_intro_intro_causal_graphs.py`

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      <div class="sphx-glr-thumbnail-title">An introduction to causal graphs and how to use them</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="A PAG or a Partial Ancestral Graph is a type of mixed edge graph that can represent, in a single graph, the causal relationship between several nodes as defined by an equivalence class of MAGs.">

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  .. image:: /auto_examples/intro/images/thumb/sphx_glr_checking_validity_of_a_pag_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_intro_checking_validity_of_a_pag.py`

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      <div class="sphx-glr-thumbnail-title">On PAGs and their validity</div>
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    </div>


.. toctree::
   :hidden:

   /auto_examples/intro/inducing_path
   /auto_examples/intro/intro_causal_graphs
   /auto_examples/intro/checking_validity_of_a_pag