Publication
*corresponding author + student author
Hu, G.*, Bradley, J.. (2018) A Bayesian spatial-temporal model with latent multivariate log-gamma random effects with application to earthquake magnitudes STAT link
Hu, G.*, Huffer, F.. (2020) Modified Kaplan-Meier Estimator and Nelson-Aalen Estimator with Geographical Weighting for Survival Data Geographical Analysis link
Ma, Z.+, Xue, Y.+, Hu, G.*. (2019) Nonparametric Analysis of Income Distributions among Different Regions Based on Energy Distance with Applications to China Health and Nutrition Survey Data Communications for Statistical Applications and Methods link
Yang, H-C.+, Hu, G.*, Chen, M-H.. (2019) Bayesian Variable Selection for Pareto Regression Models with Latent Multivariate Log Gamma Process with Applications to Earthquake Magnitudes Geosciences link
Liu, Y.+, Hu, G., Cao, L., Wang, X., Chen, M-H.. (2019) A Comparison of Monte Carlo Methods for Computing Marginal Likelihoods of Item Response Theory Models (with discussion) Journal of Korean Statistical Society link
Geng, L.+, Xue, Y.+, Hu, G.. (2019) Subsampled Information Criteria for Bayesian Model Selection in the Big Data Setting IEEE Big Data 2019 link
Xue, Y.+, Hu, G.*. (2019) Online Updating of Information Based Model Selection in the Big Data Setting Communications in Statistics - Simulation and Computation link
Xue, Y.+, Schifano, E.D. , Hu, G.*. (2020) Geographically Weighted Cox Regression for Prostate Cancer Survival Data in Louisiana Geographical Analysis link
Hu, G.*, Wang, H.. (2021) Most Likely Optimal Subsampled Markov Chain Monte Carlo Journal of System Science and Complexity link
Ma, Z.+, Xue, Y.+, Hu, G.. (2020) Heterogeneous Regression Models for Clusters of Spatial Dependent Data Spatial Economics Analysis link
Ma, Z., Hu, G.*, Chen, M-H.. (2021 ) Bayesian Hierarchical Spatial Regression Models for Spatial Data in the Presence of Missing Covariates with Applications Applied Stochastic Models in Business and Industry link
Hu, G., Xue, Y.+, Huffer, F.. (2021) A comparison of Bayesian accelerated failure time models with spatially varying coefficients Sankhya Series B link
Ma, Z., Xue, Y., Hu, G.. (2021) Geographically Weighted Regression Analysis for Spatial Economics Data: a Bayesian Recourse International Regional Science Review link
Hu, G.. (2021) Spatially Varying Sparsity in Dynamic Regression Models Econometrics and Statistics link
Mu, J.+, Liu, Q.+, Kuo, L., Hu, G.. (2021) Bayesian Variable Selection for Cox Regression Model with Spatially Varying Coefficients with Applications to Louisiana Respiratory Cancer Data Biometrical Journal link
Xue, Y.+, Schifano, E.D., Hu, G.*. (2021) Online Updating of Nonparametric Survival Estimator and Nonparametric Survival Test. Book Chapter of Springer Book on Biostatistics and Bioinformatics link
Hu, G., Yang, H-C., Xue, Y.. (2021) Bayesian Group Learning for Shot Selection of Professional Basketball Players STAT link
Hu, G.*, Geng, J. . (2021) Heterogeneity Learning for SIRS model: an Application to the COVID-19 Statistics and its Interface link
Jiao, J.+, Hu, G., Yan, J.. (2021) A Bayesian Joint Model for Spatial Point Processes with Application to Basketball Shot Chart Journal of Quantitative Analysis in Sports link
Geng, J., Shi, W.+, Hu, G.*. (2021) Bayesian Nonparametric Nonhomogeneous Poisson Process with Applications to USGS Earthquake Data Spatial Statistics link code
Geng, L.+, Hu, G.. (2021) Bayesian Spatial Homogeneity Pursuit for Survival Data with an Application to the SEER Respiratory Cancer Biometrics link code
Yang, H-C.+, Geng, L.+, Xue, Y.+, Hu, G.. (2022) Spatial Weibull Regression with Multivariate Log Gamma Process and Its Applications to China Earthquake Economic Loss Statistics and its Interface link
Jiao, J.+, Hu, G., Yan, J.. (2021) Heterogeneity Pursuit for Spatial Point Pattern with Application to Tree Locations: A Bayesian Semiparametric Recourse Environmetrics link
Yang, H-C., Xue, Y., Pan, Y., Liu, Q., Hu, G.*. (2021)Time Fused Coefficient SIR Model with Application to COVID-19 Epidemic in the United States Journal of Applied Statistics link
Hu, G., Xue, Y., Ma, Z.. (2021) Bayesian Clustered Coefficients Regression with Auxiliary Covariates Assistant Random Effects Statistical Modeling link
Hu, G., Yang, H-C., Xue, Y., Dey. D.K.. (2021) Zero Inflated Poisson Model with Clustered Regression Coefficients: an Application to Heterogeneity Learning of Field Goal Attempts of Professional Basketball Players Canadian Journal of Statistics link
Zhao, P., Hu, G.. (2021) Approximate Bayesian Estimation with Subsampled Logistic Regression in Big Data Settings IEEE Big Data 2021 link
Pan, T.+, Hu, G., Shen, W.. (2022) Identifying latent groups in spatial panel data using a Markov random field constrained product partition model Statistica Sinica link
Yin, F.+, Hu, G., Shen, W.. (2022) Analysis of professional basketball field goal attempts via a Bayesian matrix clustering approach Journal of Computational and Graphical Statistics link
Yin, F.+, Jiao, J.+, Hu, G.*, Yan, J.. (2022) Bayesian Nonparametric Estimation for Point Processes with Spatial Homogeneity: A Spatial Analysis of NBA Shot Locations Proceedings of the 39th International Conference on Machine Learning link
Hu, G., Geng, J., Xue, Y., Sang, H.. (2022) Bayesian Spatial Homogeneity Pursuit of Functional Data: an Application to the U.S. Income Distribution Bayesian Analysis link
Wong-Toi, E.+, Yang, H-C., Shen, W., Hu, G.*. (2022) A Joint Analysis for Field Goal Attempts and Percentages of Professional Basketball Players: Bayesian Nonparametric Resource Journal of Data Science link
Hu, G.*, Chen, M-H., Ravishanker, N. (2022) Bayesian Analysis of Spherically Parameterized Dynamic Multivariate Stochastic Volatility Models Computational Statistics link
Ren, Y.+, Zhu, X., Lv, X., Hu, G.. (2022) Graphical Assistant Grouped Network Autoregression Model: a Bayesian Nonparametric Recourse Journal of Business and Economics Statistics link code
Cheng, A.+, Hu, G., Li, W.. (2022) Benchmarking clustering methods for spatially resolved transcriptomics data. Briefings in Bioinformatics link
Liu, Q.+, Hu, G.*, Ye, B., Wang, S., Wu, Y.. Sample size re-estimation in Phase 2 Dose-Finding: Conditional power vs. Bayesian predictive power Pharmaceutical Statistics link
Zhao, P.+, Yang, H-C.+, Dey, D.K., Hu, G.. Bayesian Spatial Homogeneity Pursuit Regression for Count Value Data Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining link code
Pan, T.+, Shen, W., Hu, G.. Clustering spatial functional data using a geographically weighted Dirichlet Process Canadian Journal of Statistics link
Pan, T.+, Shen, W., Davis-Stober, C. P. , Hu, G.*. A Bayesian nonparametric approach for handling item and examinee heterogeneity in assessment data British Journal of Mathematical and Statistical Psychology link
Mu, Y.+, Wu, W., Hu, G.. Model-Based Statistical Depth for Bivariate Functional Data Statistics and its Interface link
Yang, H-C., Hu, G.. Bayesian Spatial Cluster Signal Learning with Application to Adverse Event Journal of Biopharmaceutical Statistics link
Qi, K.+, Hu, G.*, Wu, W.. Are Made and Missed Different? An Analysis of Field Goal Attempts of Professional Basketball Players via Depth Based Testing Procedure Annals of Applied Statistics link
Hu, G., Ma, Z., Paek, I.. A Nonparametric Bayesian Item Response Modeling Approach for Clustering Items and Individuals Simultaneously Journal of Nonparametric Statistics link
Grieshop, N.+, Feng, Y.+, Hu, G., Schweinberger, M.. A Continuous Time Stochastic Process for High-Resolution Network Data in Sports Statistica Sinica link
Gao, X.+, Wang, J., Hu, G., Sun, J.. Functional Causal Inference with Time-to-Event Data Statistics in Bioscience link
Preprint
Hu, G.*, Huffer, F., Chen, M-H.. New Development of Bayesian Variable Selection Criteria for Spatial Point Process with Applications link
Geng, J., Hu, G.*. Mixture of finite mixtures model for basket trial link
Price, K.+, Cai, H., Shen, W., Hu, G.. How much does Home Field Advantage matter in Soccer Games? A causal inference approach for English Premier League analysis link
Hu, G., Xue, Y., Shen, W.. Multidimensional heterogeneity learning for count value tensor data with applications to field goal attempt analysis of NBA players link
Meng, J.+, Ren, Y.+, Zhu, X., Hu, G.. Bayesian Spatially Clustered Compositional Regression: Linking intersectoral GDP contributions to Gini Coefficients link