AI RESEARCH
Dynamic Vine Copulas: Detecting and Quantifying Time-Varying Higher-Order Interactions
arXiv CS.LG
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ArXi:2605.03061v1 Announce Type: cross Time varying dependence is often modeled through dynamic correlations or Gaussian graphical models, yet many multivariate systems change through tail behavior, asymmetry, or conditional structure while correlations change little. We