| Call Number | 17204 |
|---|---|
| Day & Time Location |
M 8:30am-11:20am To be announced |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Ying Wei |
| Type | INDEPENDENT |
| Method of Instruction | In-Person |
| Course Description | As statistical models become increasingly complex, it is often the case that exact or even asymptotic distributions of estimators and test statistics are intractable. With the continuing improvement of processor speed, computationally intensive methods have become invaluable tools for statisticians to use in practice. This course will cover the basic modern statistical computing techniques and how they are applied in a variety of practical situations. Topics to be covered include numerical optimization, random number generation, simulation, Monte Carlo integration, permutation tests, jackknife and bootstrap procedures, Markov chain Monte Carlo methods in Bayesian settings, and the EM algorithm. |
| Web Site | Vergil |
| Department | Biostatistics |
| Enrollment | 22 students (44 max) as of 9:05PM Friday, November 22, 2024 |
| Subject | Biostatistics |
| Number | P8160 |
| Section | 001 |
| Division | School of Public Health |
| Open To | GSAS, Public Health |
| Section key | 20241BIST8160P001 |