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Practically Feasible Solutions to a Set of Problems in Applied Statistics
Many methodological advances in the statistics and machine learning literature are not accessible to substantive researchers and applied statisticians because of the highly technical and abstract writing and the lack of user-friendly tools for implementing the methods in practice. This dissertation
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