On Geometry of Information Flow for Causal Inference
Causal inference is perhaps one of the most fundamental concepts in science, beginning originally from the works of some of the ancient philosophers, through today, but also weaved strongly in current work from statisticians, machine learning experts, and scientists from many other fields. This pape...
Main Authors: | Sudam Surasinghe, Erik M. Bollt |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-03-01
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Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/22/4/396 |
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