3 papers
stat.AP2020
Comparing and Integrating US COVID-19 Data from Multiple Sources with Anomaly Detection and Repairing
Guannan Wang, Zhiling Gu, Xinyi Li +5
Over the past few months, the outbreak of Coronavirus disease (COVID-19) has been expanding over the world. A reliable and accurate dataset of the cases is vital for scientists to…
stat.AP2020
Spatiotemporal Dynamics, Nowcasting and Forecasting of COVID-19 in the United States
Li Wang, Guannan Wang, Lei Gao +5
Epidemic modeling is an essential tool to understand the spread of the novel coronavirus and ultimately assist in disease prevention, policymaking, and resource allocation. In this…
stat.ME2018
Sparse Model Identification and Learning for Ultra-high-dimensional Additive Partially Linear Models
Xinyi Li, Li Wang, Dan Nettleton
The additive partially linear model (APLM) combines the flexibility of nonparametric regression with the parsimony of regression models, and has been widely used as a popular tool…