In time series regression with Fourier, Fourier terms are limited to maximum half of the frequency of time series to capture seasonality. my question is: Can we extend Fourier terms beyond half of frequency to capture cycles? and then filter high frequency/low amplitude terms to have a forecasting algorithm?


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