Spectral density estimation is a statistical technique used to analyze the frequency components of a time series by estimating the power of each frequency in the data. This method helps to identify underlying periodic patterns and provides insights into the dynamics of the process being studied, making it crucial for applications such as signal processing, econometrics, and environmental data analysis.
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