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Blog Posts
Topic |
Medium |
|---|---|
Causal Discovery – Overview and Starters Guide – Foundations of causal modelling. |
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Structure Learning – Learn structure from data or expert knowledge. |
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Causal Predictions – Move beyond prediction to intervention. |
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Parameter Learning – Estimate CPDs from observed data. |
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Causal Inference – Interventional & counterfactual reasoning. |
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Generate Synthetic Data – Forward sampling & data generation. |
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Discretize Data – Convert continuous variables for BN modelling. |
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Comparisons – Evaluate Bayesian causal libraries. |
GitHub Repository
Google Colab Notebooks
Citing bnlearn
The BibTeX citation can be found in the right side menu at the GitHub page.