
Sample Size Reestimation Design in Phase II Dose Finding Study with Multiple Dose Groups: Frequentist and Bayesian Methods
Unblinded sample size reestimation (SSR) is often planned in a clinical...
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Identifying latent groups in spatial panel data using a Markov random field constrained product partition model
Understanding the heterogeneity over spatial locations is an important p...
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Zero Inflated Poisson Model with Clustered Regression Coefficients: an Application to Heterogeneity Learning of Field Goal Attempts of Professional Basketball Players
Although basketball is a dynamic process sport, with 5 plus 5 players co...
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Bayesian Nonparametric Estimation for Point Processes with Spatial Homogeneity: A Spatial Analysis of NBA Shot Locations
Basketball shot location data provide valuable summary information regar...
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Mixture of Finite Mixtures Model for Basket Trial
With the recent paradigm shift from cytotoxic drugs to new generation of...
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Analysis of professional basketball field goal attempts via a Bayesian matrix clustering approach
We propose a Bayesian nonparametric matrix clustering approach to analyz...
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Spatial homogeneity learning for spatially correlated functional data with application to COVID19 Growth rate curves
We study the spatial heterogeneity effect on regional COVID19 pandemic ...
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Time Fused Coefficient SIR Model with Application to COVID19 Epidemic in the United States
In this paper, we propose a SusceptibleInfectedRemoval (SIR) model wit...
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Bayesian Variable Selection for Cox Regression Model with Spatially Varying Coefficients with Applications to Louisiana Respiratory Cancer Data
The Cox regression model is a commonly used model in survival analysis. ...
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Heterogeneity Learning for SIRS model: an Application to the COVID19
We propose a Bayesian Heterogeneity Learning approach for SusceptibleIn...
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Bayesian Hierarchical Spatial Regression Models for Spatial Data in the Presence of Missing Covariates with Applications
In many applications, survey data are collected from different survey ce...
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Geographically Weighted Regression Analysis for Spatial Economics Data: a Bayesian Recourse
The geographically weighted regression (GWR) is a wellknown statistical...
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Bayesian Group Learning for Shot Selection of Professional Basketball Players
In this paper, we develop a group learning approach to analyze the under...
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A Nonparametric Bayesian Item Response Modeling Approach for Clustering Items and Individuals Simultaneously
Item response theory (IRT) is a popular modeling paradigm for measuring ...
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Most Likely Optimal Subsampled Markov Chain Monte Carlo
Markov Chain Monte Carlo (MCMC) requires to evaluate the full data likel...
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Bayesian Clustered Coefficients Regression with Auxiliary Covariates Assistant Random Effects
In regional economics research, a problem of interest is to detect simil...
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Heterogeneity Pursuit for Spatial Point Pattern with Application to Tree Locations: A Bayesian Semiparametric Recourse
Spatial point pattern data are routinely encountered. A flexible regress...
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Bayesian Spatial Homogeneity Pursuit for Survival Data with an Application to the SEER Respiration Cancer
In this work, we propose a new Bayesian spatial homogeneity pursuit meth...
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Bayesian Spatial Homogeneity Pursuit Regression for Count Value Data
Spatial regression models are ubiquitous in many different areas such as...
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Bayesian Spatial Homogeneity Pursuit of Functional Data: an Application to the U.S. Income Distribution
An income distribution describes how an entity's total wealth is distrib...
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A comparison of Bayesian accelerated failure time models with spatially varying coefficients
The accelerated failure time (AFT) model is a commonly used tool in anal...
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Spatial Weibull Regression with Multivariate Log Gamma Process and Its Applications to China Earthquake Economic Loss
Bayesian spatial modeling of heavytailed distributions has become incre...
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New Development of Bayesian Variable Selection Criteria for Spatial Point Process with Applications
Selecting important spatialdependent variables under the nonhomogeneous...
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Geographically Weighted Cox Regression for Prostate Cancer Survival Data in Louisiana
The Cox proportional hazard model is one of the most popular tools in an...
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A Bayesian Joint Model for Spatial Point Processes with Application to Basketball Shot Chart
The success rate of a basketball shot may be higher at locations where a...
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Bayesian Nonparametric Nonhomogeneous Poisson Process with Applications to USGS Earthquake Data
Intensity estimation is a common problem in statistical analysis of spat...
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Bayesian Heterogeneity Pursuit Regression Models for Spatially Dependent Data
Most existing spatial clustering literatures discussed the cluster algor...
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Guanyu Hu
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