编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 13:30-13:55 | 邀请报告 |
Subsampling Based Inference for Large Networks |
Yuguo Chen | University of Illinois Urbana-Champaign |
Invited Talk |
Subsampling Based Inference for Large Networks |
Yuguo Chen | University of Illinois Urbana-Champaign | ||
2 | 13:55-14:20 | 邀请报告 |
数据结合--网络数据指导下的高维特征最优选取方法 |
Wanjie Wang | National University of Singapore |
Invited Talk |
数据结合--网络数据指导下的高维特征最优选取方法 |
Wanjie Wang | National University of Singapore | ||
3 | 14:20-14:45 | 邀请报告 |
UBSea: A unified community detection framework |
Hao Chen | University of California, Davis |
Invited Talk |
UBSea: A unified community detection framework |
Hao Chen | University of California, Davis | ||
4 | 14:45-15:10 | 邀请报告 |
Exact Minimax Optimality of Spectral Methods in Phase Synchronization and Orthogonal Group Synchronization |
Anderson Ye Zhang | University of Pennsylvania |
Invited Talk |
Exact Minimax Optimality of Spectral Methods in Phase Synchronization and Orthogonal Group Synchronization |
Anderson Ye Zhang | University of Pennsylvania |
编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 15:30-15:50 | 贡献报告 |
Physics-informed Statistical Data Fusion for Reconstructing Current Fields of An Oceanic Eddy |
李 和 | 北京大学数学科学学院概率统计系 |
Contributed Talk |
Physics-informed Statistical Data Fusion for Reconstructing Current Fields of An Oceanic Eddy |
He Li | Peking University | ||
2 | 15:50-16:10 | 贡献报告 |
Semi-supervised multiple testing with weighted false discovery rate control |
吴正楷 | 浙江大学 |
Contributed Talk |
Semi-supervised multiple testing with weighted false discovery rate control |
Zhengkai Wu | Zhejiang University | ||
3 | 16:10-16:30 | 贡献报告 |
Enhancing Approximate Co-Sufficient Sampling Techniques |
Jie Xie | Department of Statistics and Data Science, National University of Singapore |
Contributed Talk |
Enhancing Approximate Co-Sufficient Sampling Techniques |
Jie Xie | Department of Statistics and Data Science, National University of Singapore | ||
4 | 16:30-16:50 | 贡献报告 |
A joint modeling framework for graded responses and response times: MMLE via SAEM |
张新宇 | 东北师范大学数学与统计学院 |
Contributed Talk |
A joint modeling framework for graded responses and response times: MMLE via SAEM |
Xinyu Zhang | Northeast Normal University | ||
5 | 16:50-17:10 | 贡献报告 |
Generalized Independence Test for Modern Data |
MINGSHUO LIU | UCDavis |
Contributed Talk |
Generalized Independence Test for Modern Data |
MINGSHUO LIU | UCDavis |