Algorithmic Approaches to Nonparametric Causal Inference
This thesis presents procedures for performing inferences of causal parameters across an array of contexts including observational studies, completely randomized designs, paired experiments, and covariate-adaptive designs. First, we discuss an application of convex optimization to conduct direction...
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Format: | Thesis |
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Massachusetts Institute of Technology
2022
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Online Access: | https://hdl.handle.net/1721.1/144792 |