Time Series: Parametric Estimation

This lecture covers parametric estimation in time series analysis, focusing on seasonal modeling and Box-Jenkins methods. It explains the importance of models with zero mean, the autocorrelation sequence, and the seasonal auto-regression process. The lecture also delves into variance calculations, dependence measures, and the use of least squares estimation in ARMA models.