Mathematical and Statistical Tools for High Dimensional Data on Compressive Networks
Videos from CMO Workshop
Ji Zhu, University of Michigan
Monday May 27, 2024 09:30 - 10:30
Statistical Network Analysis: Estimation and Inference
Linglong Kong, University of Alberta
Monday May 27, 2024 11:00 - 11:51
Inference for functional response model
Ping-Shou Zhong, University of Illinois at Chicago
Monday May 27, 2024 15:00 - 15:51
Causal Inference for Biomarker Identification with High-dimensional Outcome Variables
Ting Li, Hong Kong Polytechnic University
Tuesday May 28, 2024 09:30 - 10:30
Optimal Clustering of Discrete Mixtures and Multi-layer Networks
Min Yang, University of Illinois at Chicago
Tuesday May 28, 2024 11:00 - 12:00
Scalable Methodologies for Big Data Analysis: Integrating Flexible Statistical Models and Optimal Designs
Wenlu Tang, University of Alberta
Tuesday May 28, 2024 15:00 - 15:48
Statistical Inference for Pairwise Comparison Models
Jeremy Marzuola, University of North Carolina
Wednesday May 29, 2024 11:00 - 12:09
Spectral minimal partitions, nodal deficiency and the Dirichlet-to-Neumann map
Sayan Banerjee, University of North Carolina, Chapel Hill
Thursday May 30, 2024 15:00 - 16:06
Centrality measures in dynamic random networks
Nicolas Fraiman, University of North Carolina at Chapel Hill
Friday May 31, 2024 09:30 - 10:31
Semi-Supervised Community Detection: A Quasi-Stationary Distribution Approach
