
• Exploratory Statistic and Weighted Least Squares Modeling: Relationship between county population size and COVID-19 prevalence, and the COVID-19 prevalence among different age groups (Website)
• Linear Modeling: Body fat based on physiological indicators (Report)
• Statistical Learning: Prediction models for Covid-19 recovery time and risk factors for long recovery time (Report)
• Monte Carlo Simulation: Designing a simulation study to assess the three hypothesis testings of log-rank test (Report, Slide)
• Newton-Raphson Algorithm: Analyses of daily COVID-19 cases, hospitalization, death in NYC (Report, Slide)
• MCMC: Bayesian Hierarchical Modeling of COVID-19 Cases and Government Response in the US (Report, Slide)
• MLMC: Black-Scholes Pricing Model Data Simulation by Multilevel Monte-Carlo Method (Slide)
• Edible Tableware based on Finite Element Analysis. Shandong University School of Mathematics - Enactus Joint Undergraduate Program on Edible Tableware Innovation (Report)