报告摘要：Now the social network data is very popular. However, what we can do if we have a network dataset? I will start from introducing a real network about the papers published in top four statistical journals, then show how we generate different networks based on the problem of interest. With the network, we will check the main difficulty, and how we solve it based on our model.

报告嘉宾：王婉洁  新加坡国立大学

时间：2020.11.25 18:30-19:30

腾讯会议: 355 498 210

报告人简介：王婉洁，新加坡国立大学助理教授，宾夕法尼亚大学博后，卡内基梅隆大学博士，本科毕业于北京大学；主要研究方向为高维统计分析、随机矩阵和社交网络等，学术论文在The Annals of Statistics、Journal of the American Statistical Association和Neural Computation等学术期刊发表。

 欢迎大家参加，谢谢！

邀请人：马学俊