Subsampled Information Criteria for Bayesian Model Selection in the Big Data Setting. - Lijiang Geng; Yishu Xue; Guanyu Hu 002 (IEEE BigData, 2019)

Approximate Bayesian Estimation with Subsampled Logistic Regression in Big Data Settings. - Peng Zhao; Guanyu Hu 002 (IEEE BigData, 2021)

Online updating of information based model selection in the big data setting. - Yishu Xue; Guanyu Hu 002 (Commun. Stat. Simul. Comput., 2021)

Bayesian Nonparametric Learning for Point Processes with Spatial Homogeneity: A Spatial Analysis of NBA Shot Locations. - Fan Yin; Jieying Jiao; Jun Yan; Guanyu Hu 002 (ICML, 2022)

Spatial Clustering Regression of Count Value Data via Bayesian Mixture of Finite Mixtures. - Peng Zhao 021; Hou-Cheng Yang; Dipak K. Dey; Guanyu Hu 002 (KDD, 2023)

Analysis of Professional Basketball Field Goal Attempts via a Bayesian Matrix Clustering Approach. - Fan Yin; Guanyu Hu 002; Weining Shen (J. Comput. Graph. Stat., 2023)

Bayesian analysis of spherically parameterized dynamic multivariate stochastic volatility models. - Guanyu Hu 002; Ming-Hui Chen; Nalini Ravishanker (Comput. Stat., 2023)