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- 1Dietary intake assessment
- 1Differential Privacy
- 1Functional data analysis
- 1Functional principal component analysis
- 1Gaussian Differential Privacy
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Fall 2023
This thesis presents a comprehensive study of Gaussian Differential Privacy (GDP) and Local Differential Privacy (LDP), exploring their properties, relationships, and applications in developing novel algorithms and optimization methods for efficient and accurate privacy-preserving data analysis....
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Statistical Learning and Inference For Functional Predictor Models via Reproducing Kernel Hilbert Space
DownloadFall 2024
Functional regression is a cornerstone for understanding complex relationships where predictors or responses (or both) are functions. A particularly powerful framework within this domain is the Reproducing Kernel Hilbert Space (RKHS), which facilitates the handling of infinite-dimensional data...
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Fall 2016
BACKGROUND: Healthy dietary intake and appropriate weight gain are two key components of an ideal pregnancy. The objective of this thesis was to investigate the weight gain pattern of a large cohort of pregnant women and its association with dietary intakes, which may provide valuable information...