Lectures related to Lag operator

Covers the analysis and modeling of univariate time series, focusing on stationarity, ARMA processes, and forecasting.

Covers common time series models, trend removal, and seasonality adjustment techniques.

Covers digital controller design, focusing on discrete-time models and the pole placement technique.

Explores time series models, emphasizing autoregressive processes, including white noise, AR(1), and MA(1), among others.

Covers digital controller design, discrete-time models, RST controller, pole placement, regulation, tracking, and time-domain performance.

Covers count data models and Poisson regression, then transitions to univariate time series analysis for forecasting economic variables.