arxivcs.LGstat.ME2026-07-22
CEDAR: Causal Edge Discovery for Autoregressive Processes
We propose CEDAR (Causal Edge Discovery for Autoregressive Processes), a constraint-based method for lagged causal edge discovery in sparse autoregressive time series. CEDAR screens candidate cross-variable lags using AR(1)-residualized, U-centered distance correlation, then appl…