Zobrazeno 1 - 10
of 223
pro vyhledávání: '"Hunter, David R"'
To understand how the interconnected and interdependent world of the twenty-first century operates and make model-based predictions, joint probability models for networks and interdependent outcomes are needed. We propose a comprehensive regression f
Externí odkaz:
http://arxiv.org/abs/2410.07555
Homophily, the tendency of individuals who are alike to form ties with one another, is an important concept in the study of social networks. Yet accounting for homophily effects is complicated in the context of bipartite networks where ties connect i
Externí odkaz:
http://arxiv.org/abs/2312.05673
The ergm package supports the statistical analysis and simulation of network data. It anchors the statnet suite of packages for network analysis in R introduced in a special issue in Journal of Statistical Software in 2008. This article provides an o
Externí odkaz:
http://arxiv.org/abs/2203.08198
Publikováno v:
Electronic Journal of Statistics, 17(2): 3337-3356 (2023)
This article discusses the problem of determining whether a given point, or set of points, lies within the convex hull of another set of points in $d$ dimensions. This problem arises naturally in a statistical context when using a particular approxim
Externí odkaz:
http://arxiv.org/abs/2202.03572
Publikováno v:
Journal of Statistical Software, 105(1), 1-44 (2023)
The ergm package supports the statistical analysis and simulation of network data. It anchors the statnet suite of packages for network analysis in R introduced in a special issue in Journal of Statistical Software in 2008. This article provides an o
Externí odkaz:
http://arxiv.org/abs/2106.04997
Autor:
Schmid, Christian S., Hunter, David R.
Publikováno v:
In Social Networks January 2024 76:209-214
Autor:
Schmid, Christian S., Hunter, David R.
Much of the theory of estimation for exponential family models, which include exponential-family random graph models (ERGMs) as a special case, is well-established and maximum likelihood estimates in particular enjoy many desirable properties. Howeve
Externí odkaz:
http://arxiv.org/abs/2009.01202
Motivated by a study of United Nations voting behaviors, we introduce a regression model for a series of networks that are correlated over time. Our model is a dynamic extension of the additive and multiplicative effects network model (AMEN) of Hoff
Externí odkaz:
http://arxiv.org/abs/1803.06711
Dynamic networks are a general language for describing time-evolving complex systems, and discrete time network models provide an emerging statistical technique for various applications. It is a fundamental research question to detect the community s
Externí odkaz:
http://arxiv.org/abs/1712.07325
Publikováno v:
Statistica Sinica, 2020 Jan 01. 30(3), 1235-1254.
Externí odkaz:
https://www.jstor.org/stable/26968927