23 citations · 153 across the 33 of their papers we have counts for
6 papers · 1 filter
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…
New Development of Bayesian Variable Selection Criteria for Spatial Point Process with Applications
Guanyu Hu, Fred Huffer, Ming-Hui Chen
Selecting important spatial-dependent variables under the nonhomogeneous spatial Poisson process model is an important topic of great current interest. In this paper, we use the De…
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…
A Bayesian marked spatial point processes model for basketball shot chart
Jieying Jiao, Guanyu Hu, Jun Yan
The success rate of a basketball shot may be higher at locations where a player makes more shots. For a marked spatial point process, this means that the mark and the intensity are…
Bayesian Nonparametric Nonhomogeneous Poisson Process with Applications to USGS Earthquake Data
Junxian Geng, Wei Shi, Guanyu Hu
Intensity estimation is a common problem in statistical analysis of spatial point pattern data. This paper proposes a nonparametric Bayesian method for estimating the spatial point…
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…