The course intends to explore some topics of nonparametric inference, with a focus on rank-based and curve smoothing inference. Specific subjects to be studied may include order statistics, empirical functions and goodness-of-fit tests, inference in extreme value models, kernel density and regression function estimation, smoothing parameter selection and estimation of other functions depending on the density.
