Chaos for Prediction

When most people see a volatile time series, they think it’s random. But chaos and randomness are not the same. Chaos has structure – sensitive to initial conditions, and governed by deterministic laws. What if we could map time series data onto a chaotic system and let its internal dynamics do the forecasting? In this […]