Posts tagged Temporal causal discovery
Temporal causal discovery
- October 16, 2026
Causes take time. Rain today slows today’s traffic, and today’s traffic shapes tomorrow’s sales. When you measure the same variables day after day, the order of the days tells you which way a link can run: the future cannot cause the past. As of 0.5.0, we support six methods that use this order: PCMCI, PCMCI+, LPCMCI, lasso Granger causality, VARMA-LiNGAM, and LongitudinalLiNGAM.