Causal Graph Summarization

Causal inference is critical for scientific progress, especially in social sciences like public health and education—however, analysts often only have access to partial data which may lead to erroneous conclusions if critical confounding biases are not accounted for. To do this, they critically rely...

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Bibliographic Details
Main Author: Zeng, Anna
Other Authors: Cafarella, Michael
Format: Thesis
Published: Massachusetts Institute of Technology 2023
Online Access:https://hdl.handle.net/1721.1/151569