3 papers
stat.ME2026
Inference on the Significance of Modalities in Multimodal Generalized Linear Models
Wanting Jin, Guorong Wu, Quefeng Li
Despite the popular of multimodal statistical models, there lacks rigorous statistical inference tools for inferring the significance of a single modality within a multimodal model…
stat.AP2026
Matrix-Response Generalized Linear Mixed Model with Applications to Longitudinal Brain Images
Zhentao Yu, Jiaqi Ding, Guorong Wu +1
Longitudinal brain imaging data facilitate the monitoring of structural and functional alterations in individual brains across time, offering essential understanding of dynamic neu…
stat.ME2023
Correlation networks, dynamic factor models and community detection
Shankar Bhamidi, Dhruv Patel, Vladas Pipiras +1
A dynamic factor model with a mixture distribution of the loadings is introduced and studied for multivariate, possibly high-dimensional time series. The correlation matrix of the…