星光直播 星光直播 报告[2025] 111号

(高水平大学建设系列报告1213号)

报告题目: Dynamic Networks with Node Heterogeneity and Homophily

报告人：蒋滨雁 副教授（香港理工大学）

报告时间：2025年 11月 11日下午16:00-17:00

报告地点： 校友广场303会议室

报告摘要：Statistical modeling of network data is an important topic in various areas. Although many real networks are dynamic in nature, most existing statistical models and related inferences for network data are confined to static networks, and the development of the foundation for dynamic network models is still in its infancy. To the best of our knowledge, no attempts have been made to jointly address node heterogeneity and link homophily among dynamic networks. Being able to capture these network features simultaneously will not only bring new insights on understanding how networks were formed but also provide more sophisticated tools for the prediction of a future network with statistical guarantees. In particular, our model accounts for link homophily associated with both observed traits and latent traits of the nodes. A novel normalized least squared loss-based framework is constructed to generate stable estimations for the high dimensional parameters. The promising performance of the proposed model is further illustrated by various simulation and real data studies.

报告人简介：蒋滨雁博士于2007年获中国科学技术大学统计学学士学位，2012年获新加坡国立大学统计与应用概率学博士学位。博士毕业后在卡内基梅隆大学从事博士后工作。2015 年8 月份加入香港理工大学，现为数据科学与人工智能系副教授并兼任副系主任，担任Hacettepe Journal of Mathematics and Statistics以及IEEE Transactions on Emerging Topics in Computational Intelligence 的AE。其主要研究领域是统计学，研究兴趣包括高维数据分析和网络数据分析。统计理论和建模方面的代表性成果曾在JRSSB, JASA, Biometrika, AoS, JMLR等统计学和机器学习的期刊发表。

欢迎师生参加！

邀请人：王江洲

　　　　　　　　　　　　　　　　　　　　　　　 星光直播

　　　　　　　　　　　　　　　　　　　　　 2025年11月6日