A broad introduction to statistical time series analysis for postgraduates: what time series analysis can be useful for; autocorrelation; stationarity; basic time series models: AR, MA, ARMA; invertibility; spectral analysis; estimation; forecasting. We will also discuss some of the following topics: financial time series and the GARCH model; and if time permits, multivariate time series and change point detection.

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