Large deviations and exact asymptotics for constrained exponential random graphs

Abstract

We present a technique for approximating generic normalization constants subject to constraints. The method is then applied to derive the exact asymptotics for the conditional normalization constant of constrained exponential random graphs.

14 pages

References in corpus (4)

• An Introduction to the Thermodynamic and Macrostate Levels of Nonequivalent Ensembles
• An $L^p$ theory of sparse graph convergence I: limits, sparse random graph models, and power law distributions
• The Asymptotics of Large Constrained Graphs
• Asymptotic Structure of Constrained Exponential Random Graph Models

Cited by in corpus (1)

• On the lower tail variational problem for random graphs