好色视频

荔园学者Colloquium第一百七十四期

讲座题目：Community detection in networks under weighted popularity-adjusted block models

主讲人：刘秉辉 教授（东北师范大学）

讲座时间：2026年6月26日15:00-16:00

讲座地点：好色视频 粤海校区汇星楼一号教室

内容摘要：In this paper, we address the problem of community detection in networks under the weighted popularity-adjusted block model (wPABM). This model extends conventional block models by introducing node-specific “popularity” parameters that capture interaction effects between communities and nodes, while also incorporating weighted edges. Notably, without restricting the edge weights to any pre-specified distribution, we only assume that their distributions belong to the family of non-negative sub-exponential family. To fit the wPABM, we develop a computationally efficient method called the weighted popularity-adjusted profile-pseudo-likelihood (wPAPPL) method and establish the consistency of the resulting parameter estimators. Extensive simulations and a real-data analysis demonstrate that the proposed method achieves highly competitive and robust community detection performance across diverse data and distribution types, with very reasonable computational cost.

主讲人简介：刘秉辉，东北师范大学数学与统计好色视频 ，教授、副院长，吉林省大数据与智能分析重点实验室主任；入选国家级青年人才、国家天元数学东北中心优秀青年学者、吉林省拔尖创新人才；主要从事统计机器学习和网络数据分析方面的研究；在统计学、计算机&人工智能、计量经济学领域期刊发表学术论文四十余篇，部分成果发表在JASA、AoS、AoAS、AIJ、JMLR、JoE、JBES等重要期刊；担任中国现场统计研究会因果推断分会副理事长、中国现场统计研究会统计交叉科学研究分会副理事长等。

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　　　　　　　　　　　　　　　　　　　　 2026年6月10日