报告信息

数苑学术沙龙第四十七讲:Bayesian inference methods for complex network analysis using big data

时间:2017-04-17 作者: 点击:
Title 数苑学术沙龙第四十七讲:Bayesian inference methods for complex network analysis using big data
Speaker 田天海
DateTime 2017年4月20日(周四)下午4点
Place 6401
Abstract The advance of computer technologies has generated huge amount of big data that need novel statistical and mathematical methods to make testable predictions. Bayesian method is an effective tool to infer unknown parameters and structures of complex networks in social, biological and physical sciences. After a brief introduction of big data and challenges in data analysis, I will use a few biological systems to illustrate how to use Bayesian methods to analyze complex networks.
Brief Introduction to Speaker

田天海,楚天学者讲座教授(数学与统计学学院),澳大利亚莫那什大学副教授.
 

网站简介 | 在线投稿 | 领导信箱 | 友情链接
版权所有 © 2010 华中师范大学数学与统计学学院