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Conducting Causal Analysis by Means of Approximating Probabilistic Truths
SIMPLE SUMMARY: The current paper develops a probabilistic theory of causation and suggests practical routines for conducting causal inference applicable to new machine learning methods that have, so far, remained relatively underutilized in this context. ABSTRACT: The current paper develops a proba...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8774820/ https://www.ncbi.nlm.nih.gov/pubmed/35052117 http://dx.doi.org/10.3390/e24010092 |