Network Regression and Its Inference

Explore network regression and its inference in this 54-minute seminar presented by Dr. Can Le, Assistant Professor in the Department of Statistics at the University of California, Davis. Delve into the analysis of complex network data representing interactions and relationships between units. Learn about a new framework for estimating and making inferences of regression coefficients with network effects. Discover how to handle inference requirements in the presence of observational errors related to network structure. Gain insights into statistical network analysis and its applications in the rapidly developing fields of science and technology.