323 citations · 607 across the 25 of their papers we have counts for
4 papers · 1 filter
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…
Model-Based Clustering of Nonparametric Weighted Networks with Application to Water Pollution Analysis
Amal Agarwal, Lingzhou Xue
Water pollution is a major global environmental problem, and it poses a great environmental risk to public health and biological diversity. This work is motivated by assessing the…
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…
Inverse Moment Methods for Sufficient Forecasting using High-Dimensional Predictors
Wei Luo, Lingzhou Xue, Jiawei Yao +1
We consider forecasting a single time series using a large number of predictors in the presence of a possible nonlinear forecast function. Assuming that the predictors affect the r…