Comparison notebook: Why flexibility matters?

docs/source/notebooks/index.md

@@ -24,6 +24,7 @@ sc_skl.ipynb
 sc_pymc.ipynb
 sc_pymc_brexit.ipynb
 sdid_pymc.ipynb
+its_causalpy_vs_causalimpact.ipynb
 :::
 
 :::{toctree}

docs/source/references.bib

@@ -319,6 +319,17 @@ @article{goodmanbacon2021difference
   publisher={Elsevier}
 }
 
+@article{brodersen2015inferring,
+  title={Inferring causal impact using Bayesian structural time-series models},
+  author={Brodersen, Kay H. and Gallusser, Fabian and Koehler, Jim and Remy, Nicolas and Scott, Steven L.},
+  journal={The Annals of Applied Statistics},
+  volume={9},
+  number={1},
+  pages={247--274},
+  year={2015},
+  publisher={Institute of Mathematical Statistics}
+}
+
 @article{abadie2010synthetic,
   title={Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California's Tobacco Control Program},
   author={Abadie, Alberto and Diamond, Alexis and Hainmueller, Jens},

scripts/run_notebooks/skip_notebooks.yml

@@ -5,3 +5,8 @@
 # Requires JAX which is not installed in the test environment.
 - iv_pymc.ipynb
 - iv_weak_instruments.ipynb
+
+# Requires the third-party `causalimpact` package (Google's library, used here
+# only for side-by-side comparison) which is not a CausalPy dependency and is
+# not installed in the test environment.
+- its_causalpy_vs_causalimpact.ipynb