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…
stat.ME2026
Network Cross-Validation and Model Selection via Subsampling
Sayan Chakrabarty, Srijan Sengupta, Yuguo Chen
Complex and larger networks are becoming increasingly prevalent in scientific applications in various domains. Although a number of models and methods exist for such networks, cros…