Joint Statistics/Complex Systems Seminar: Cosma Shalizi, Associate Professor, Department of Statistics, Carnegie Mellon University
Nonparametric Estimation and Comparison for Networks
Scientific questions about networks are often comparative: we want to know whether the difference between two networks is just noise, and, if not, how their structures differ. I'll describe a general framework for network comparison, based on testing whether the distance between models estimated from separate networks exceeds what we'd expect based on a pooled estimate. This framework is especially powerful with nonparametric network models, such as densities of latent node locations, or continuous generalizations of block models ("graphons"); the estimation methods for those models also let us do generate surrogate data, predict links, and summarize structure.
(Joint work with Dena Asta, Brian Karrer, and Lawrence Wang.)
(Joint work with Dena Asta, Brian Karrer, and Lawrence Wang.)
Building: | West Hall |
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Website: | |
Event Type: | Workshop / Seminar |
Tags: | seminar |
Source: | Happening @ Michigan from Department of Statistics, Department of Statistics Seminar Series |