most citedBayesian Inference for Big Spatial Data Using Non-stationary Spectral Simulation

2 citations · 5 across the 3 of their papers we have counts for

collaborators

5 papers

stat.AP20202 cited

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…

stat.AP2020

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…

stat.AP2020

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…

stat.ME20202 cited

Bayesian Inference for Big Spatial Data Using Non-stationary Spectral Simulation

Hou-Cheng Yang, Jonathan R. Bradley

It is increasingly understood that the assumption of stationarity is unrealistic for many spatial processes. In this article, we combine dimension expansion with a spectral method…

stat.AP20191 cited

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…