Conducting Causal Analysis by Means of Approximating Probabilistic Truths
The current paper develops a probabilistic theory of causation using measure-theoretical concepts and suggests practical routines for conducting causal inference. The theory is applicable to both linear and high-dimensional nonlinear models. An example is provided using random forest regressions and...
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| Μορφή: | Άρθρο |
| Γλώσσα: | English |
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MDPI AG
2022-01-01
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| Σειρά: | Entropy |
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| Διαθέσιμο Online: | https://www.mdpi.com/1099-4300/24/1/92 |