Information Theoretic Causal Effect Quantification

Information Theoretic Causal Effect Quantification

Modelling causal relationships has become popular across various disciplines. Most common frameworks for causality are the Pearlian causal directed acyclic graphs (DAGs) and the Neyman-Rubin potential outcome framework. In this paper, we propose an information theoretic framework for causal effect q...

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Detalhes bibliográficos
Main Authors: Aleksander Wieczorek, Volker Roth
Formato: Artigo
Idioma:English
Publicado em: MDPI AG 2019-10-01
Colecção:Entropy
Assuntos:
directed information
conditional mutual information
directed mutual information
confounding
causal effect
back-door criterion
average treatment effect
potential outcomes
time series
chain graph
Acesso em linha:https://www.mdpi.com/1099-4300/21/10/975

Internet

https://www.mdpi.com/1099-4300/21/10/975

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