Statistical Computing

3 Credits · Level: Graduate

This course will cover a wide range of topics that are likely to be of use to a graduate student or researcher who needs to use and develop statistical methods. We will concentrate on optimization, ideas from numerical linear algebra, numerical integration and Monte Carlo Methods in R and C. It is a survey of special topics that you will nd useful as you pursue PhD degrees in our Department. These include interfacing R and C, exploring methods of computational statistics, and developing strategies for tackling computational problems in statistics.