5 citations · 10 across the 5 of their papers we have counts for
9 papers
Multidimensional heterogeneity learning for count value tensor data with applications to field goal attempt analysis of NBA players
Guanyu Hu, Yishu Xue, Weining Shen
We propose a multidimensional tensor clustering approach for studying how professional basketball players' shooting patterns vary over court locations and game time. Unlike most ex…
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…
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…
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…
Bayesian Group Learning for Shot Selection of Professional Basketball Players
Guanyu Hu, Hou-Cheng Yang, Yishu Xue
In this paper, we develop a group learning approach to analyze the underlying heterogeneity structure of shot selection among professional basketball players in the NBA. We propose…
A comparison of Bayesian accelerated failure time models with spatially varying coefficients
Guanyu Hu, Yishu Xue, Fred Huffer
The accelerated failure time (AFT) model is a commonly used tool in analyzing survival data. In public health studies, data is often collected from medical service providers in dif…