4 papers
Bridging Theory and Practice: Statistical Inference for Latent Space Models of Networks
Yuang Tian, Jiajin Sun, Yinqiu He
Latent space models have been widely adopted in modeling network data. Developing statistical inference for estimated model parameters enables quantifying associated uncertainty an…
Boosting multi-view association testing via devariation
Ruyi Pan, Yinqiu He, Jun Young Park
Understanding the interplay between high-dimensional data from different views is essential in biomedical research, particularly in fields such as genomics, neuroimaging and bioban…
Semiparametric Modeling and Analysis for Longitudinal Network Data
Yinqiu He, Jiajin Sun, Yuang Tian +2
We introduce a semiparametric latent space model for analyzing longitudinal network data. The model consists of a static latent space component and a time-varying node-specific bas…
Quantile Mediation Analytics
Canyi Chen, Yinqiu He, Huixia J. Wang +2
Mediation analytics help examine if and how an intermediate variable mediates the influence of an exposure variable on an outcome of interest. Quantiles, rather than the mean, of a…