This lecture by the instructor on Time Series covers topics such as Spectral Estimation, Yule Walker method, and Integrated Processes. The lecture delves into Whittle's Likelihood, ARIMA models, and the estimation of noise variance.
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Covers spectral estimation techniques like tapering and parametric estimation, emphasizing the importance of AR models and Whittle likelihood in time series analysis.
