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Large deviations of subgraph counts for sparse random graphs
In this talk, based on a recent joint work with Nick Cook, I will discuss recent developments in the emerging theory of nonlinear large deviations focusing on sharp upper tails for counts of a fixed subgraph in a large sparse Erdos–Renyi graph. In particular, I will explain our approach via quantitative versions of the regularity and counting lemmas suitable for the study of sparse random graphs in the large deviations regime.
Date:
3 June 2019, 12:00
Venue:
Mathematical Institute, Woodstock Road OX2 6GG
Speaker:
Amir Dembo (Stanford University)
Organising department:
Department of Statistics
Part of:
Probability seminar
Booking required?:
Not required
Audience:
Public
Editors:
Christina Goldschmidt,
James Martin
