3 citations · 6 across the 3 of their papers we have counts for
3 papers
stat.ME2017★ 2 cited
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…
stat.ME2017★ 3 cited
A Review of Dynamic Network Models with Latent Variables
Bomin Kim, Kevin Lee, Lingzhou Xue +1
We present a selective review of statistical modeling of dynamic networks. We focus on models with latent variables, specifically, the latent space models and the latent class mode…
stat.ME2015★ 1 cited
Nonparametric mixture of Gaussian graphical models
Kevin Lee, Lingzhou Xue
Graphical model has been widely used to investigate the complex dependence structure of high-dimensional data, and it is common to assume that observed data follow a homogeneous gr…