| Course: | STAT 27850=STAT 30850 |
| Title: | Multiple Testing, Modern Inference, and Replicability |
| Instructor(s): | Rina Foygel Barber |
| Teaching Assistant(s): | Haoyang Liu |
| Class Schedule: | Sec 01: MW 11:00 AM-12:20 PM in Eckhart 133 |
| Office Hours: | |
| Textbook(s): | None |
| Description: | This course examines the problems of multiple testing and statistical inference from a modern point of view. High-dimensional data is now common in many applications across the biological, physical, and social sciences. With this increased capacity to generate and analyze data, classical statistical methods may no longer ensure the reliability or replicability of scientific discoveries. We will examine a range of modern methods that provide statistical inference tools in the context of modern large-scale data analysis. The course will have weekly assignments as well as a final project, both of which will include both theoretical and computational components. Prerequisite(s): STAT 24400 or equivalent. |