12月24日 周望教授学术报告(数学与统计学会)

时间:2018-12-22浏览:269设置

报 告 人:周望 教授

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

报告时间:2018年12月24日(周一)下午3:00-6:00

报告地点:静远楼1506报告厅

主办单位:数学与统计学会、科学技术研究会

报告摘要:

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 $PM_{2.5}$ in five Chinese cities: Beijing, Tianjin, Jinan, Tangshan and Qinhuangdao by Gaussian graphical model.

报告人概况:

周望,2004年7月在新加坡国立大学统计系任教,并于2009年1月获终身教授。现为新加坡国立大学正教授。主要从事统计学的理论与应用研究,在高维数据估计、高维数据检验、数据降维、大维数据随机矩阵领域取得了重要的成果。迄今为止,在Annals of Statistics, Journal of American Statistical Association,Journal of Royal Statistical Society(B), Biometrika, Bernoulli, Journal of Econometrics,Trans. Amer. Math. Soc.,Annals of Probability,Annals of Applied Probability等国际顶级期刊发表论文近60篇。2012年在新加坡国立大学获得“杰出科学家奖”。


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