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Update README.md #279

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5d591c6
Update README.md
djinnome Mar 14, 2025
070834a
Merge branch 'main' into djinnome-patch-1
cthoyt Mar 14, 2025
c35d600
Update README.md
cthoyt Mar 14, 2025
51c34b3
Merge branch 'main' into djinnome-patch-1
cthoyt May 9, 2025
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8 changes: 4 additions & 4 deletions README.md
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Expand Up @@ -108,6 +108,7 @@ unimplemented for the last 15 years of publications including:
| IDC Star | [Shpitser and Pearl, 2012](https://arxiv.org/abs/1206.5294) |
| Surrogate Outcomes | [Tikka and Karvanen, 2018](https://arxiv.org/abs/1806.07172) |
| Counterfactual Transportability | [Correia, Lee, Bareinboim, 2022](https://proceedings.mlr.press/v162/correa22a.html) |
| Hierarchical Causal Models | [Weinstein and Blei, 2024](https://arxiv.org/abs/2401.05330) |
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adding the HCM line can be part of the HCM pull request


Apply an algorithm to an Acyclic Directed Mixed Graph (ADMG) and a causal query
to generate an estimand represented in the DSL like:
Expand All @@ -117,7 +118,6 @@ from y0.dsl import P, X, Y
from y0.examples import napkin
from y0.algorithm.identify import Identification, identify

# TODO after ID* and IDC* are done, we'll update this interface
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this is still TODO

query = Identification.from_expression(graph=napkin, query=P(Y @ X))
estimand = identify(query)
assert estimand == P(Y @ X)
Expand Down Expand Up @@ -171,9 +171,9 @@ our Zenodo record (also see the badge above):

```bibtex
@software{y0,
author = {Charles Tapley Hoyt and
Jeremy Zucker and
Marc-Antoine Parent},
author = {Charles Tapley Hoyt, Richard Callahan, Adam Rupe,
Nathaniel Merrill, Haley Hummel,
Marc-Antoine Parent, and Jeremy Zucker},
title = {y0-causal-inference/y0},
month = jun,
year = 2021,
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