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scripts/run_notebooks/skip_notebooks.yml
@@ -2,11 +2,6 @@
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#
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# These notebooks are skipped for various reasons documented below.
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-# Inverse propensity weighting notebooks require realistic posterior samples.
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-# Prior samples can produce extreme propensity scores (very close to 0 or 1),
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-# causing infinite values in the inverse weighting calculations.
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-- inv_prop_latent.ipynb
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-
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# Requires JAX which is not installed in the test environment.
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- iv_pymc.ipynb
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- iv_weak_instruments.ipynb
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