Practical Methods for Scalable Bayesian and Causal Inference with Provable Quality Guarantees
Many scientific and decision-making tasks require learning complex relationships between a set of 𝑝 covariates and a target response, from 𝑁 observed datapoints with 𝑁 ≪ 𝑝. For example, in genomics and precision medicine, there may be thousands or millions of genetic and environmental covariates but...
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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/1721.1/139350 |