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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Format: | Thesis |
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Massachusetts Institute of Technology
2023
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Online Access: | https://hdl.handle.net/1721.1/151569 |