Introduction to Statistical Time Series

Key Points

• The aim is to provide foundational knowledge in statistical time series analysis techniques and theories.
• Overview of moving average and autoregressive processes.
• Introduction to Fourier analysis and spectral theory.
• Discussion of parameter estimation, regression, trend, and seasonality.
• Insight into large sample theory and its applications in time series.
• Understanding the role of unit roots and explosive time series in analysis.