Statistical analysis and modeling of observations in temporal order, which exhibit dependence. Stationarity, trend estimation, seasonal decomposition, autocorrelations, spectral analysis and state space models. Implementations in the software R.
I will post written notes from time to time here (after the lectures).
R files used in the lectures will also appear here.
Helpful books for the course