Causal Structure Learning through Double Machine Learning

Learning the causal structure of a system solely from observational data is a fundamental yet intricate task with numerous applications across various fields, including economics, earth sciences, biology, and medicine. This task is challenging due to several reasons: i) observational data alone, as...

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Bibliographic Details
Main Author: Soleymani, Ashkan
Other Authors: Jaillet, Patrick
Format: Thesis
Published: Massachusetts Institute of Technology 2024
Online Access:https://hdl.handle.net/1721.1/156327