23 citations · 79 across the 11 of their papers we have counts for
11 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…
Bayesian Clustered Coefficients Regression with Auxiliary Covariates Assistant Random Effects
Guanyu Hu, Yishu Xue, Zhihua Ma
In regional economics research, a problem of interest is to detect similarities between regions, and estimate their shared coefficients in economics models. In this article, we pro…
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…
Bayesian Spatial Homogeneity Pursuit of Functional Data: an Application to the U.S. Income Distribution
Guanyu Hu, Junxian Geng, Yishu Xue +1
An income distribution describes how an entity's total wealth is distributed amongst its population. A problem of interest to regional economics researchers is to understand the sp…
Spatial Weibull Regression with Multivariate Log Gamma Process and Its Applications to China Earthquake Economic Loss
Hou-Cheng Yang, Lijiang Geng, Yishu Xue +1
Bayesian spatial modeling of heavy-tailed distributions has become increasingly popular in various areas of science in recent decades. We propose a Weibull regression model with sp…
Geographically Weighted Cox Regression for Prostate Cancer Survival Data in Louisiana
Yishu Xue, Elizabeth D. Schifano, Guanyu Hu
The Cox proportional hazard model is one of the most popular tools in analyzing time-to-event data in public health studies. When outcomes observed in clinical data from different…
Heterogeneous Regression Models for Clusters of Spatial Dependent Data
Zhihua Ma, Yishu Xue, Guanyu Hu
In economic development, there are often regions that share similar economic characteristics, and economic models on such regions tend to have similar covariate effects. In this pa…