1 citations · 1 across the 2 of their papers we have counts for
4 papers
Spatial homogeneity learning for spatially correlated functional data with application to COVID-19 Growth rate curves
Tianyu Pan, Weining Shen, Guanyu Hu
We study the spatial heterogeneity effect on regional COVID-19 pandemic timing and severity by analyzing the COVID-19 growth rate curves in the United States. We propose a geograph…
Finite Mixtures of ERGMs for Modeling Ensembles of Networks
Fan Yin, Weining Shen, Carter T. Butts
Ensembles of networks arise in many scientific fields, but there are few statistical tools for inferring their generative processes, particularly in the presence of both dyadic dep…
Nonparametric Matrix Response Regression with Application to Brain Imaging Data Analysis
Wei Hu, Tianyu Pan, Dehan Kong +1
With the rapid growth of neuroimaging technologies, a great effort has been dedicated recently to investigate the dynamic changes in brain activity. Examples include time course ca…
Elliptical modeling and pattern analysis for perturbation models and classfication
Shan Suthaharan, Weining Shen
The characteristics (or numerical patterns) of a feature vector in the transform domain of a perturbation model differ significantly from those of its corresponding feature vector…