Zobrazeno 1 - 10
of 115
pro vyhledávání: '"Mark S. Handcock"'
Publikováno v:
Journal of Statistical Software, Vol 52, Iss 2 (2013)
Exponential-family random graph models (ERGMs) represent a powerful and flexible class of models for the statistical analysis of networks. statnet is a suite of software packages that implement these models. This paper details how the capabilities fo
Externí odkaz:
https://doaj.org/article/a883db1975cd4c6eb8ee0b7c247537cd
Publikováno v:
Journal of Statistical Software, Vol 24, Iss 3 (2008)
We describe some of the capabilities of the ergm package and the statistical theory underlying it. This package contains tools for accomplishing three important, and inter-related, tasks involving exponential-family random graph models (ERGMs): estim
Externí odkaz:
https://doaj.org/article/745c7b6b83b7492abd5dce584bd8cebf
Autor:
Ryan Admiraal, Mark S. Handcock
Publikováno v:
Journal of Statistical Software, Vol 24, Iss 8 (2008)
The ability to simulate graphs with given properties is important for the analysis of social networks. Sequential importance sampling has been shown to be particularly effective in estimating the number of graphs adhering to fixed marginals and in es
Externí odkaz:
https://doaj.org/article/e343bb9be3e94b42857278f92daa2ac8
Publikováno v:
Journal of Statistical Software, Vol 24, Iss 1 (2007)
statnet is a suite of software packages for statistical network analysis. The packages implement recent advances in network modeling based on exponential-family random graph models (ERGM). The components of the package provide a comprehensive framewo
Externí odkaz:
https://doaj.org/article/943981da023f4a64beca7f6cc4e461f1
Autor:
Pavel N. Krivitsky, Mark S. Handcock
Publikováno v:
Journal of Statistical Software, Vol 24, Iss 5 (2007)
latentnet is a package to fit and evaluate statistical latent position and cluster models for networks. Hoff, Raftery, and Handcock (2002) suggested an approach to modeling networks based on positing the existence of an latent space of characteristi
Externí odkaz:
https://doaj.org/article/67553015fd1c4e82a5212f1f303199c7
Publikováno v:
Journal of Statistical Software, Vol 24, Iss 9 (2007)
The statnet suite of R packages contains a wide range of functionality for the statistical analysis of social networks, including the implementation of exponential-family random graph (ERG) models. In this paper we illustrate some of the functionalit
Externí odkaz:
https://doaj.org/article/602c54dd0e214abc8b1d1ce7a5fd88fa
Publikováno v:
Journal of Statistical Software, Vol 24, Iss 4 (2007)
Exponential-family random graph models (ERGMs) represent the processes that govern the formation of links in networks through the terms selected by the user. The terms specify network statistics that are sufficient to represent the probability distri
Externí odkaz:
https://doaj.org/article/8ce7a27a65de4692a752a43d0c206a29
Publikováno v:
Journal of the Royal Statistical Society Series A: Statistics in Society.
Many demographic problems require models for partnership formation. We consider a model for matchings within a bipartite population where individuals have utility for people based on observed and unobserved characteristics. It represents both the ava
Publikováno v:
Nature Climate Change, vol 12, iss 1
In stark contrast to the Arctic, there have been statistically significant positive trends in total Antarctic sea ice extent since 1979. However, the short and highly variable nature of observed Antarctic sea ice extent limits the ability to fully un
Autor:
Marilyn N. Raphael, Mark S. Handcock
Publikováno v:
Nature Reviews Earth & Environment, vol 3, iss 4
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d79688f93d7aefe95b78062f70c2f8e
https://escholarship.org/uc/item/0t96w00k
https://escholarship.org/uc/item/0t96w00k