Description
Dr. Guanyu Hu
Assistant Professor of Biostatistics, Department of Biostatistics and Data Science
The University of Texas Health Science Center at Houston
“What Could the Bayesian Method Offer for Spatial Homogeneity Learning?””
In this talk, I will present a novel nonparametric Bayesian method for learning spatial homogeneity patterns. This method excels at capturing both locally contiguous spatial clusters and globally discontiguous clusters. Posterior inferences are conducted using an efficient Markov chain Monte Carlo (MCMC) algorithm. Simulation studies demonstrate the method's accuracy and superiority over a wide range of competing approaches. I will showcase two applications: spatially resolved transcriptomics 1/2 data and income distributions across the United States, highlighting the fascinating insights revealed by the proposed methodology.
Biography
Dr. Hu is an Assistant Professor in the Department of Biostatistics and Data Science at the UTHealth Houston School of Public Health. He currently is an Associate Editor of Biometrics, Annals of Applied Statistics, Environmental and Ecological Statistics, Statistics and its Interface and New England Journal of Statistics in Data Science. He is an elected member of the International Statistical Institute. Additionally, He serves as Chair of the Section on Statistics in Sport of the ASA and Program chair of the ISBA East Asian Chapter. His primary research interests include Bayesian nonparametric methods, spatial point processes, causal inference, and spatial statistics, complemented by interdisciplinary applications in spatial omics data, environmental science, clinical trials, and educational and psychological measurement.
Featuring: Dr. Guanyu Hu, Assistant Professor of Biostatistics
Location
BB 4.02.10 (Executive Conference Room)
Category:
Campus Events
