8 citations · 32 across the 17 of their papers we have counts for
13 papers · 1 filter
A Continuous-Time Stochastic Process for High-Resolution Network Data in Sports
Nicholas Grieshop, Yong Feng, Guanyu Hu +1
Technological advances have paved the way for collecting high-resolution network data in basketball, football, and other team-based sports. Such data consist of interactions among…
Zero Inflated Poisson Model with Clustered Regression Coefficients: an Application to Heterogeneity Learning of Field Goal Attempts of Professional Basketball Players
Guanyu Hu, Hou-Cheng Yang, Yishu Xue +1
Although basketball is a dynamic process sport, with 5 plus 5 players competing on both offense and defense simultaneously, learning some static information is predominant for prof…
Spatial homogeneity learning for spatially correlated functional data with application to COVID-19 Growth rate curves
Tianyu Pan, Weining Shen, Guanyu Hu
We study the spatial heterogeneity effect on regional COVID-19 pandemic timing and severity by analyzing the COVID-19 growth rate curves in the United States. We propose a geograph…
Time Fused Coefficient SIR Model with Application to COVID-19 Epidemic in the United States
Hou-Cheng Yang, Yishu Xue, Yuqing Pan +2
In this paper, we propose a Susceptible-Infected-Removal (SIR) model with time fused coefficients. In particular, our proposed model discovers the underlying time homogeneity patte…
Heterogeneity Learning for SIRS model: an Application to the COVID-19
Guanyu Hu, Junxian Geng
We propose a Bayesian Heterogeneity Learning approach for Susceptible-Infected-Removal-Susceptible (SIRS) model that allows underlying clustering patterns for transmission rate, re…
Geographically Weighted Regression Analysis for Spatial Economics Data: a Bayesian Recourse
Zhihua Ma, Yishu Xue, Guanyu Hu
The geographically weighted regression (GWR) is a well-known statistical approach to explore spatial non-stationarity of the regression relationship in spatial data analysis. In th…