COMPUTATION FOR STATISTICAL RESEARCH

Credit Hours: 3 · Graduate

This course will cover statistical computing beyond introductory programming, with a focus on essential tools for implementing statistical methods in research. Topics will include algorithms for model fitting, including optimization and MCMC sampling methods, as well as practical tools for statistical computing, including code profiling, debugging, cluster computing, source code management using GitHub, reproducible research tools, and the development of R packages and Shiny apps.