35 citations · 84 across the 8 of their papers we have counts for
8 papers
Nonparametric Density Estimation for Data Scattered on Irregular Spatial Domains: A Likelihood-Based Approach Using Bivariate Penalized Spline Smoothing
Kunal Das, Shan Yu, Guannan Wang +1
Accurately estimating data density is crucial for making informed decisions and modeling in various fields. This paper presents a novel nonparametric density estimation procedure t…
TSSS: A Novel Triangulated Spherical Spline Smoothing for Surface-based Data
Zhiling Gu, Shan Yu, Guannan Wang +2
Surface-based data is commonly observed in diverse practical applications spanning various fields. In this paper, we introduce a novel nonparametric method to discover the underlyi…
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…
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…
On Selection of Semiparametric Spatial Regression Models
Guannan Wang, Jue Wang
In this paper, we focus on the variable selection techniques for a class of semiparametric spatial regression models which allow one to study the effects of explanatory variables i…
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…
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…
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…