| Call Number | 15224 |
|---|---|
| Day & Time Location |
M 10:10am-12:00pm 308A Lewisohn Hall |
| Points | 4 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Ming Yuan |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | Prerequisites: STAT G6201 and STAT G6201 This course will mainly focus on nonparametric methods in statistics. A tentavie list of topics to be covered include nonparametric density and regression function estimation -- upper bounds on the risk of kernel estimators and matching lower bounds on the minimax risk, reproducing kernel Hilbert spaces, bootstrap and resampling methods, multiple hypothesis testing, and high dimensional stastistical analysis. |
| Web Site | Vergil |
| Department | Statistics |
| Enrollment | 10 students (25 max) as of 11:06AM Tuesday, December 3, 2024 |
| Subject | Statistics |
| Number | GR6203 |
| Section | 001 |
| Division | Graduate School of Arts and Sciences |
| Open To | GSAS |
| Note | STAT PhD students only. |
| Section key | 20243STAT6203G001 |