We gratefully acknowledge support from
the Simons Foundation
and University of Bath
Full-text links:

Download:

(license)

Current browse context:

math.ST
< prev | next >
new | recent | 1402

Change to browse by:

math
stat
stat.ME

References & Citations

Bookmark

(what is this?)
CiteULike logo BibSonomy logo Mendeley logo del.icio.us logo Digg logo Reddit logo ScienceWISE logo

Mathematics > Statistics Theory

Title: Modeling heterogeneity in random graphs through latent space models: a selective review

Authors: Catherine Matias (LaMME, LPMA), Stéphane Robin
(Submitted on 18 Feb 2014 (v1), last revised 25 Sep 2014 (this version, v2))
Abstract: We present a selective review on probabilistic modeling of heterogeneity in random graphs. We focus on latent space models and more particularly on stochastic block models and their extensions that have undergone major developments in the last five years.
Subjects: Statistics Theory (math.ST); Methodology (stat.ME)
Cite as: arXiv:1402.4296 [math.ST]
  (or arXiv:1402.4296v2 [math.ST] for this version)

Submission history

From: Catherine Matias [view email]
[v1] Tue, 18 Feb 2014 11:16:44 GMT (174kb,D)
[v2] Thu, 25 Sep 2014 16:56:13 GMT (258kb,D)
Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)