NARMANone

NARMA (Nonlinear AutoRegressive Moving Average) models are tools used in time series analysis to predict future data points based on past values and errors, capturing complex, nonlinear patterns. They extend traditional linear models by incorporating nonlinear functions, making them suitable for complex systems like finance, weather, or biological signals where relationships aren’t purely linear. Essentially, NARMA models analyze historical data to forecast future trends, helping in understanding and predicting behaviors in dynamic, real-world processes.