Math 4930: Bayesian Data Analysis - 2017 Spring General Information Instructor : Dr. Haijun Gong Contact Info.: haijun.gong@slu.edu, Ritter Hall 219, Phone: 314-977-2435 Time : T,Th 11:00-12:15pm Place : RH 346 Office Hour : T, W, 3:00-4:30pm, Ritter 219, or by appoitnment Textbook : Bayesian Computationa with R, 2nd Edition, by Jim Albert (Required). Bayesian Data Analysis, Third Edition, by Andrew Gelman, John B. Carlin (suggested) Introduction to Stochastic Processes with R, by Robert P. Dobrow (suggested) Statistical Computing with R, by Maria L. Rizzo (suggested) Bayesian Reasoning and Machine Learning, by David Barber (suggested). R language : Download & Install R , Good R tutorial with code: R Tutorial R for Beginner: PDF File Matlab is also allowed. Announcements: All homework, solution, and grade are posted on the blackboard.