pymc-labs · NathanielF · Nov 12, 2025 · Oct 23, 2025 · Oct 23, 2025 · Oct 23, 2025
diff --git a/docs/source/_static/JOINT_DAG.png b/docs/source/_static/JOINT_DAG.png
diff --git a/docs/source/_static/forwards_backwards.png b/docs/source/_static/forwards_backwards.png
diff --git a/docs/source/_static/potential_outcomes.png b/docs/source/_static/potential_outcomes.png
diff --git a/docs/source/_static/probabilistic_intervention_fix.png b/docs/source/_static/probabilistic_intervention_fix.png
diff --git a/docs/source/knowledgebase/glossary.rst b/docs/source/knowledgebase/glossary.rst
@@ -66,6 +66,9 @@ Glossary
    Pretest-posttest design
       A quasi-experimental design where the treatment effect is estimated by comparing an outcome measure before and after treatment.
 
+   Probabilistic Programming
+      Probabilistic programming is the practice of expressing statistical using general-purpose programming languages extended with constructs for random variables, probability distributions, and inference. Prominent examples are `PyMC` and `Stan`
+
    Propensity scores
       An estimate of the probability of adopting a treatment status. Used in re-weighting schemes to balance observational data.
 

diff --git a/docs/source/knowledgebase/index.md b/docs/source/knowledgebase/index.md
@@ -6,6 +6,7 @@
 glossary
 design_notation
 quasi_dags.ipynb
+structural_causal_models.ipynb
 causal_video_resources
 causal_written_resources
 :::
diff --git a/docs/source/knowledgebase/structural_causal_models.ipynb b/docs/source/knowledgebase/structural_causal_models.ipynb
diff --git a/docs/source/references.bib b/docs/source/references.bib
@@ -23,13 +23,34 @@ @article{richardson2009monetary
   publisher={The University of Chicago Press}
 }
 
+
+@book{pearl2000causality,
+  title={Causality: Models, Reasoning, and Inference},
+  author={Pearl, J.},
+  isbn={9780521773621},
+  lccn={99042108},
+  url={https://books.google.ie/books?id=wnGU_TsW3BQC},
+  year={2000},
+  publisher={Cambridge University Press}
+}
+
 @book{angrist2014mastering,
   title={Mastering 'Metrics: The path from cause to effect},
   author={Angrist, Joshua D and Pischke, J{\"o}rn-Steffen},
   year={2014},
   publisher={Princeton University Press}
 }
 
+@book{angrist2009mostly,
+  title={Mostly Harmless Econometrics: An Empiricist's Companion},
+  author={Angrist, J.D. and Pischke, J.S.},
+  isbn={9780691120355},
+  lccn={2008036265},
+  url={https://books.google.ie/books?id=YSAzEAAAQBAJ},
+  year={2009},
+  publisher={Princeton University Press}
+}
+
 @article{carpenter2009effect,
   title={The effect of alcohol consumption on mortality: regression discontinuity evidence from the minimum drinking age},
   author={Carpenter, Christopher and Dobkin, Carlos},
@@ -59,6 +80,13 @@ @book{hansenEconometrics
   publisher={Princeton}
 }
 
+@book{kaplan_bs_social_science,
+  title={Bayesian Statistics for the social sciences},
+  author={Kaplan, David},
+  year={2024},
+  publisher={Guilford Press}
+}
+
 @book{aronowFoundations,
   author={Aronow, P and  Miller, B},
   title={Foundations of Agnostic Statistics},

diff --git a/environment.yml b/environment.yml
@@ -16,4 +16,5 @@ dependencies:
   - statsmodels
   - xarray>=v2022.11.0
   - pymc-extras>=0.3.0
+  - pymc-bart
   - python>=3.11