Complex Dynamic Models

The sixth chapter discusses the application of complex-valued models to time-series data, introducing complex dynamic models such as complex ARIMA. It explains how these models can capture time-dependent structures in complex systems more effectively than their real-valued counterparts. The chapter also briefly compares complex dynamic models to traditional vector autoregressive models, highlighting their advantages and limitations.