Statistical Inference in Popularity Adjusted Stochastic Block Model

Series
Stochastics Seminar
Time
Thursday, September 24, 2020 - 3:30pm for 1 hour (actually 50 minutes)
Location
https://ucf.zoom.us/j/92646603521?pwd=TnRGSVo1WXo2bjE4Y3JEVGRPSmNWQT09
Speaker
Marianna Pensky – University of Central Florida – https://sciences.ucf.edu/math/mpensky/
Organizer
Mayya Zhilova

The talk considers the Popularity Adjusted Block model (PABM) introduced by Sengupta and Chen (2018). We argue that the main appeal of the PABM is the flexibility of the spectral properties of the graph which makes the PABM an attractive choice for modeling networks that appear in, for example, biological sciences. In addition, to the best of our knowledge, the PABM is the only stochastic block model that allows to treat the network sparsity as the structural sparsity that describes community patterns, rather than being an attribute of the network as a whole.

Link to Zoom meeting: https://ucf.zoom.us/j/92646603521?pwd=TnRGSVo1WXo2bjE4Y3JEVGRPSmNWQT09