3 papers
stat.ME2021
Dimension Reduction Forests: Local Variable Importance using Structured Random Forests
Joshua Daniel Loyal, Ruoqing Zhu, Yifan Cui +1
Random forests are one of the most popular machine learning methods due to their accuracy and variable importance assessment. However, random forests only provide variable importan…
stat.ME2021
An Eigenmodel for Dynamic Multilayer Networks
Joshua Daniel Loyal, Yuguo Chen
Dynamic multilayer networks frequently represent the structure of multiple co-evolving relations; however, statistical models are not well-developed for this prevalent network type…
stat.ME2020
A Bayesian Nonparametric Latent Space Approach to Modeling Evolving Communities in Dynamic Networks
Joshua Daniel Loyal, Yuguo Chen
The evolution of communities in dynamic (time-varying) network data is a prominent topic of interest. A popular approach to understanding these dynamic networks is to embed the dya…