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Poisson approximation of subgraph counts in stochastic block models and a graphon model

Abstract:

Small subgraph counts can be used as summary statistics for large random graphs. We use the Stein-Chen method to derive Poisson approximations for the distribution of the number of subgraphs in the stochastic block model which are isomorphic to some fixed graph. We also obtain Poisson approximations for subgraph counts in a graphon-type generalisation of the model in which the edge probabilities are (possibly dependent) random variables supported on a subset of $[0,1]$. Our results apply when...

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Publication status:
In press
Peer review status:
Peer reviewed

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Publisher copy:
10.1051/ps/2016006

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Role:
Author
More from this funder
Funding agency for:
Gaunt, R
Reinert, G
Grant:
EP/K032402/1
EP/K032402/1
More from this funder
Funding agency for:
Coulson, M
Grant:
Summer Studentship
Publisher:
EDP Sciences
Journal:
ESAIM: Probability and Statistics More from this journal
Publication date:
2016-01-01
Acceptance date:
2016-03-02
DOI:
EISSN:
1262-3318
ISSN:
1292-8100
Keywords:
Pubs id:
pubs:569834
UUID:
uuid:e5fbf1de-69f6-4517-8fb9-0e3edf2f8285
Local pid:
pubs:569834
Source identifiers:
569834
Deposit date:
2016-02-24

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