MATH 452 - Large Scale Inference

This is a course for graduate students in statistics, mathematics and other fields that require an advanced background and deeper understanding of the theory and methods of high-dimensional data analysis. Bayesian hierarchical models and Empirical Bayesian approaches will be presented as well as theory and application of multiple hypothesis testing such as false discovery rate. The applications will be presented on important and high-throughput medical problems particularly in genomic medicine.
Units: 4
Course Type: Seminar