New Models And Algorithms For Distribution Testing: Beyond Standard Sampling
Distribution testing is a crucial area at the interface of statistics and algorithms, where one wishes to learn properties of datasets from a small number of samples. Classic distribution testing problems occur in many applications, including biology, genomics, computer systems, and linguistics. In...
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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/1721.1/139095 |