Frequency Domain Identification of Time Series Models
This paper develops a frequency domain procedure for identification of time series models. The approach is similar to Tintner's variate difference technique for determining the degree of a polynomial by repeated differencing. Unlike conventional procedures, it can identifying mixed processes and multivariate time series models with correlated inputs.