AI & ML
impact 16
Beyond Coefficients: Forecast-Necessity Testing for Interpretable Causal Discovery in Nonlinear Time-Series Models
Beyond Coefficients: Forecast-Necessity Testing for Interpretable Causal Discovery in Nonlinear Time-Series Models arXiv:2604.18751v1 Announce Type: cross Abstract: Nonlinear machine-learning models are increasingly use…
Why it matters
Not an isolated event—nonlinear has been trending in this direction. The models connection makes it particularly relevant.