Work

Stein's method in network analysis

Year: 2026

Type: preprint

Abstract: The paper consists of a brief survey of the use of Stein's method in network analysis. Topics covered include normal and Poisson approximation of graph--based statistics, approximating an exponential random graph by a Bernoulli model, and comparison of different random geometric graph models.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2606.03442

Authors: Barbour, A. D., Fischer, Adrian, Reinert, Gesine

Institutions: University of Zurich, University of Oxford, Science Oxford

Topic: Point processes and geometric inequalities

Subfield: Applied Mathematics

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

Funder: Engineering and Physical Sciences Research Council

Awards: FAIR: Framework for responsible adoption of Artificial Intelligence in the financial seRvices industry, CHARMNET - Characterising Models for Networks, Network Stochastic Processes and Time Series (NeST), Mathematical Foundations of Intelligence: An "Erlangen Programme" for AI

OpenAlex ID: W7163324433

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