| Call Number | 15655 |
|---|---|
| Day & Time Location |
T 1:00pm-3:50pm 627CON ROSENFIELD B |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Ian McKeague |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | This course will provide a comprehensive introduction to the field of asymptotic statistics. The treatment will be both practical and mathematically rigorous. The course will consist of two parts. The first will be a review of most of the standard topics of limit theory, such as the delta method and central limit theorems, while avoiding many technicalities. The second will present advanced topics such as semiparametric models, counting processes, empirical likelihood, the bootstrap, and empirical processes. These powerful research techniques are becoming increasingly important for the development of biostatistical methods to handle complex data sets. The overall goal of the course is to train students in the use of advanced asymptotic techniques for medical and public health applications. This course is intended for second-year Biostatistics Ph.D. students to provide a review of asymptotic statistics for the Ph.D. qualifying exam, and give them exposure to a variety of advanced topics. |
| Web Site | Vergil |
| Department | Biostatistics |
| Enrollment | 7 students (7 max) as of 9:14PM Wednesday, November 20, 2024 |
| Subject | Biostatistics |
| Number | P9111 |
| Section | 001 |
| Division | School of Public Health |
| Open To | GSAS, Public Health |
| Section key | 20243BIST9111P001 |