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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Bibliographic Details
Main Authors: Aleksander Wieczorek, Volker Roth
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Entropy
Subjects:
directed information
conditional mutual information
directed mutual information
confounding
causal effect
back-door criterion
average treatment effect
potential outcomes
time series
chain graph
Online Access:https://www.mdpi.com/1099-4300/21/10/975

Internet

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

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