Advanced Statistical Computing

Bios 366 at Vanderbilt University

Course Synopsis

Grading and Assignments
Final Project
Textbook and Reading Materials
Software Requirements
Version Control with Git

Course Synopsis

Course covers numerical optimization, Markov Chain Monte Carlo (MCMC), estimation-maximization (EM) algorithms, Gaussian processes, Hamiltonian Monte Carlo, statistical/machine learning, data augmentation algorithms, and techniques for dealing with missing data. Students will also be introduced to the Python programming language, and its use for statistical computing.

Prerequisites: Bios 301 or permission of instructor. Students must be familiar with the Git version control system.


Chris Fonnesbeck, PhD, Assistant Professor of Biostatistics

11137, 11th floor, 2525 West End Avenue