Lecture 10: Time series analysis – auto-regressive process, moving average processes, ARMA models etc.
Lecture 11: Nonparametric regression – kernel density estimation, smoothing splines, wavelets
Lecture 12: Gaussian processes, Dirichlet processes
Practical 4: Nonparametric curve fitting