2 papers
stat.AP2026
Two-Sample Testing for Multivariate Cross-Correlation Functions with Applications to Gut-Brain Reward Learning
Bhaskar Ray, Tùng Bùi, William Matthew Howe +1
Cross-correlation functions (CCFs) are classical tools for studying lead-lag relationships between paired time series, but they are most often used descriptively rather than infere…
cs.LG2025
Self-Clustering Graph Transformer Approach to Model Resting-State Functional Brain Activity
Bishal Thapaliya, Esra Akbas, Ram Sapkota +3
Resting-state functional magnetic resonance imaging (rs-fMRI) offers valuable insights into the human brain's functional organization and is a powerful tool for investigating the r…