Lectures related to Time Series: Stochastic Properties and Modelling

Related lectures (32)

Explores structural modelling in time series and introduces the Kalman filter for prediction and estimation.

Explores Vector Autoregression for modeling vector-valued time series, covering stability, Yule-Walker equations, and spectral representation.