2 citations · 3 across the 4 of their papers we have counts for
4 papers
Bayesian mixed model inference for genetic association under related samples with brain network phenotype
Xinyuan Tian, Yiting Wang, Selena Wang +2
Genetic association studies for brain connectivity phenotypes have gained prominence due to advances in non-invasive imaging techniques and quantitative genetics. Brain connectivit…
Establishing group-level brain structural connectivity incorporating anatomical knowledge under latent space modeling
Selena Wang, Yiting Wang, Frederick H. Xu +2
Brain structural connectivity, capturing the white matter fiber tracts among brain regions inferred by diffusion MRI (dMRI), provides a unique characterization of brain anatomical…
Heywood cases in unidimensional factor models and item response models for binary data
Selena Wang, Paul De Boeck, Marcel Yotebieng
Heywood cases are known from linear factor analysis literature as variables with communalities larger than 1.00, and in present day factor models, the problem also shows in negativ…
Joint Latent Space Model for Social Networks with Multivariate Attributes
Selena Shuo Wang, Subhadeep Paul, Paul De Boeck
In many application problems in social, behavioral, and economic sciences, researchers often have data on a social network among a group of individuals along with high dimensional…