Course: STAT 27850=30850
Title: Multiple Testing, Modern Inference, and Replicability
Instructor(s): Rina Barber
Teaching Assistant(s): Yu Gui, Wanrong Zhu
Class Schedule: Sec 1: TR 12:30 PM-1:50 PM in Harper Memorial 130
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.
Textbook(s):