3 papers
stat.AP2024
Supervised brain node and network construction under voxel-level functional imaging
Wanwan Xu, Selena Wang, Chichun Tan +5
Recent advancements in understanding the brain's functional organization related to behavior have been pivotal, particularly in the development of predictive models based on brain…
stat.ME2024
Bayesian thresholded modeling for integrating brain node and network predictors
Zhe Sun, Wanwan Xu, Tianxi Li +3
Progress in neuroscience has provided unprecedented opportunities to advance our understanding of brain alterations and their correspondence to phenotypic profiles. With data colle…
cs.SI2023
Fitting Low-rank Models on Egocentrically Sampled Partial Networks
Angus Chan, Tianxi Li
The statistical modeling of random networks has been widely used to uncover interaction mechanisms in complex systems and to predict unobserved links in real-world networks. In man…