STAT 3330
Time Series I
Lec 01 selected
This course is an introduction to Time Series methods, including: stationary models, trends and seasonality, stochastic Time Series models, autoregressive and moving average processes and an introduction to Time Series forecasting. ARIMA models. Seasonal Time Series and Spectral Analysis are also covered. Three lecture hours per week
Sections
Lecture
Lec 01
Tue, Thu 10:00-11:15
Syllabus
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