activity
20182021
most citedSpatiotemporal Dynamics, Nowcasting and Forecasting of COVID-19 in the United States

35 citations · 83 across the 6 of their papers we have counts for

collaborators

6 papers

stat.ME2021★ 25 cited

Simultaneous Confidence Corridors for Mean Functions in Functional Data Analysis of Imaging Data

Yueying Wang, Guannan Wang, Li Wang +1

Motivated by recent work involving the analysis of biomedical imaging data, we present a novel procedure for constructing simultaneous confidence corridors for the mean of imaging…

stat.ME2021★ 11 cited

Multivariate Spline Estimation and Inference for Image-On-Scalar Regression

Shan Yu, Guannan Wang, Li Wang +1

Motivated by recent data analyses in biomedical imaging studies, we consider a class of image-on-scalar regression models for imaging responses and scalar predictors. We propose us…

stat.CO2021★ 4 cited

Nonparametric Regression for 3D Point Cloud Learning

Xinyi Li, Shan Yu, Yueying Wang +3

Over the past two decades, we have seen an exponentially increased amount of point clouds collected with irregular shapes in various areas. Motivated by the importance of solid mod…

stat.AP2020★ 2 cited

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★ 35 cited

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★ 6 cited

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…