特邀新加坡国立大学周旺教授来我校做学术报告

报告题目：High order conditional distance covariance with conditional mutual independence

报告人：周旺（新加坡国立大学）

报告时间：2018年12月26日（星期三）15:30-16:10

报告地点：尚贤楼706

主持人：来鹏副教授

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报告内容简介：

We construct a high order conditional distance covariance, which generalizes the notation of conditional distance covariance. The joint conditional distance covariance is defined as a linear combination of conditional distance covariances, which can capture the joint relation of many random vectors given one vector. Furthermore, we develop a new method of conditional independent test based on the joint conditional distance covariance.  Simulation results indicate that the proposed method is very effective. We also apply our method to analyze the relationships of PM2.5 in five Chinese cities: Beijing, Tianjin, Jinan, Tangshan and Qinhuangdao by Gaussian graphical model.

                                                                                             数学与统计学院

                                                                                             2018年12月24日