The Seven Tools of Causal Inference, with Reflections on Machine Learning.
The article discusses the seven tools of causal interference and offers reflections on machine learning. Topics include encoding causal assumptions, the algorithmitization of counterfactuals, and mediation analysis and the assessment of direct and indirect effects.
| Publicado en: | Communications of the ACM Vol. 62; no. 3; pp. 54 - 61 |
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| Formato: | Artículo |
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Association for Computing Machinery
Mar2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| Sumario: | The article discusses the seven tools of causal interference and offers reflections on machine learning. Topics include encoding causal assumptions, the algorithmitization of counterfactuals, and mediation analysis and the assessment of direct and indirect effects. |
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