Course: MATH 542. Nonparametric Statistics (3)
Prerequisite: MATH 440A or MATH 541. One, two and K sample location methods, the histogram estimator, kernel density estimation, the choice of the smoothing parameter, other density estimators: orthogonal basis, penalized maximum likelihood, nonparametric regression: Nadaraya-Watson, choice of smoothing parameter, k-nn, splines, bootstrap.