Time Series Forecasting, Fourier, Ensemble Method, Data Science, Signal Processing.
captures the non-periodic changes s(t) is the seasonality, or the changes with strict periodicity epsilon is the noise that cannot be predicted by the model By correctly learning y(t) and g(t), the model should be able to make predictions, except for the random variations represented by epsilon