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Tutorials | ||
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.. _models_tutorials: | ||
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Basic causal discovery models without latent confounders | ||
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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. | ||
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.. toctree:: | ||
:maxdepth: 1 | ||
:titlesonly: | ||
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markovian/pc | ||
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