Nonparametric regression and nonparametric density estimation, modern nonparametric techniques, nonparametric confidence interval estimates, nearest neighbor algorithms (with non-linear features), wavelet, bootstrap. Nonparametric analogs of the one- and two-sample t-tests and analysis of variance. Prerequisites: STATS STATS 191/STATS 203 and STATS STATS 200. See https://statistics.stanford.edu/course-equiv for equivalent courses in other departments that satisfy these prerequisites.
3 units · Letter or Credit/No Credit
Nonparametric regression and nonparametric density estimation, modern nonparametric techniques, nonparametric confidence interval estimates, nearest neighbor algorithms (with non-linear features), wavelet, bootstrap. Nonparametric analogs of the one- and two-sample t-tests and analysis of variance. Prerequisites: STATS 191/203 and STATS 200. See https://statistics.stanford.edu/course-equiv for equivalent courses in other departments that satisfy these prerequisites.
Offered in Spring 2027 at Stanford University.