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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Detalles Bibliográficos
Autor principal: Andrée, Bo Pieter Johannes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8774820/
https://www.ncbi.nlm.nih.gov/pubmed/35052117
http://dx.doi.org/10.3390/e24010092

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