Biostatistics Virtual Seminar - Dr. Guanyu Hu on Bayesian Spatial Homogeneity Learning for Functional Data
何时何地
扬uary 19
4:00 PM - 5:15 PM
Webex（在Google地图中查看)
接触
- 斯科特·戴森（Scott Dyson）
- scott.b.dyson@uth.tmc.edu
事件描述
主持人：
Guanyu Hu, PhD
Assistant Professor
统计局
密苏里大学
抽象的
In this talk, I will introduce two novel nonparametric Bayesian methods for learning spatial homogeneity pattern of functional data. Our methods have the advantage of effectively capturing both locally spatially contiguous clusters and globally discontiguous clusters. Posterior inferences are performed with an efficient Markov chain Monte Carlo (MCMC) algorithm. Simulation studies show that the inferences are accurate and the methods are superior compared to a wide range of competing methods. Two applications including state-level COVID-19 daily growth rates and income distributions across the US will be presented to reveal interesting findings based on proposed methods.
WebexPassword:MQcjip3fG97
Event Site Link
https://uthealth.webex.com/uthealth/j.php?mtid=m1253AEF83849A64BE687BA687BA653EC82691
附加信息
