341 citations · 518 across the 11 of their papers we have counts for
11 papers
ergm 4: Computational Improvements
Pavel N. Krivitsky, David R. Hunter, Martina Morris +1
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…
Improving ERGM Starting Values Using Simulated Annealing
Christian S. Schmid, David R. Hunter
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 like…
Model-Based Clustering of Time-Evolving Networks through Temporal Exponential-Family Random Graph Models
Kevin H. Lee, Lingzhou Xue, David R. Hunter
Dynamic networks are a general language for describing time-evolving complex systems, and discrete time network models provide an emerging statistical technique for various applica…
Clustering Via Finite Nonparametric ICA Mixture Models
Xiaotian Zhu, David R. Hunter
We propose an extension of non-parametric multivariate finite mixture models by dropping the standard conditional independence assumption and incorporating the independent componen…
Assignment of endogenous retrovirus integration sites using a mixture model
David R. Hunter, Le Bao, Mary Poss
Structural variation occurs in the genomes of individuals because of the different positions occupied by repetitive genome elements like endogenous retroviruses, or ERVs. The prese…
Theoretical Grounding for Estimation in Conditional Independence Multivariate Finite Mixture Models
Xiaotian Zhu, David R. Hunter
For the nonparametric estimation of multivariate finite mixture models with the conditional independence assumption, we propose a new formulation of the objective function in terms…