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【热烈庆祝经济学院建院35周年系列学术活动之十】统计学系学术讲座
时间:2015-06-10       浏览量:957

主题:Bayesian inference of exponential random

时间:2015-06-12 10:00 - 11:30

地点:经济学院209室

嘉宾:林楠

嘉宾介绍:      林楠教授1999年毕业于中国科学技术大学少年班系,2003年在美国伊利诺伊大学获得统计学专业博士学位,2003-2004年在耶鲁大学做博士后,2004年至今在圣路易斯华盛顿大学先后担任助理教授、副教授。主要从事概率统计,统计计算、生物信息学以及相关应用领域的研究工作。林教授在国际统计的四大顶尖期刊《Annals of Statistics》,《JASA》,《JRSSB》,《Biometrika》发表论文数篇和工业统计,生物,医学等领域的顶尖杂志, 如《Technometrics》,《Genome Research》, 《Annals of Surgery》,《The New England Journal of Medicine》,《Anesthesiology》先后发表40余篇高水平学术论文。目前是《Computational Statistics & Data Analysis》国际期刊副主编。

活动详情While the impact of measurement errors inherent in network data has been widely recognized, relatively little work has been done to solve the problem mainly due to the complex dependence nature of network data. In this talk, we propose a Bayesian inference framework for summary statistics of the true underlying network, based on the network observed with measurement errors. We construct a Gibbs sampler to iteratively draw underlying true networks and model parameters. We incorporate the exponential random graph model to serve as the likelihood function, and use the exchange algorithm to draw model parameters. Simulation results show that using our inference framework, the impact of measurement errors has been reduced significantly.
 
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