Time Series Forecasting, Fourier, Ensemble Method, Data Science, Signal Processing.
value before that (lag 2), etc. the phi coefficients are the model weights the noise term (epsilon) is not actually part of the AR(p) model, since it cannot be predicted So the AR(p) model tries to predict future values from multiple lags of the past values. Various blends of ETS and autoregressive