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Skip to Search Results- 2Bayesian Inference
- 1COVID-19
- 1Data Synthesis
- 1Differential Privacy
- 1Mathematical Modeling
- 1Mathematical Theory For Epidemics
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Fall 2021
The demand for large dataset and demand of privacy protection are in constantly conflicts as the balance between the two is hard to keep. Differential privacy is a mathematical rigor definition that provides the balance bewteen these two opposite sides. It's developed with the purpose of making...
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Spring 2023
Since the COVID-19 outbreak in Wuhan City in December 2019, numerous model predictions on the COVID-19 epidemics in Wuhan have been reported. These model predictions have shown a wide range of variations. In our first study, we demonstrate that nonidentifiability in model calibrations using the...