On Exchangeability in Network Models

Main Article Content

Steffen L. Lauritzen, Alessandro Rinaldo, Kayvan Sadeghi


We derive representation theorems for exchangeable distributions on finite and infinite graphs using elementary arguments based on geometric and graph-theoretic concepts. Our results elucidate some of the key differences, and their implications, between statistical network models that are finitely exchangeable and models that define a consistent sequence of probability distributions on graphs of increasing size.

Article Details