activity
20192025
most citedBayesian Group Learning for Shot Selection of Professional Basketball Players

22 citations · 36 across the 7 of their papers we have counts for

collaborators

7 papers

stat.AP2025

How do the professional players select their shot locations? An analysis of Field Goal Attempts via Bayesian Additive Regression Trees

Jiahao Cao, Hou-Cheng Yang, Guanyu Hu

Basketball analytics has significantly advanced our understanding of the game, with shot selection emerging as a critical factor in both individual and team performance. With the a…

stat.AP2020★ 2 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★ 1 cited

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★ 22 cited

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.ME2020★ 8 cited

Spatial Clustering Regression of Count Value Data via Bayesian Mixture of Finite Mixtures

Peng Zhao, Hou-Cheng Yang, Dipak K. Dey +1

Investigating relationships between response variables and covariates in areas such as environmental science, geoscience, and public health is an important endeavor. Based on a Bay…

stat.ME2020★ 2 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.AP2019★ 1 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…