To provide researchers with an introduction to practical Bayesian methods. Topics will include Bayesian philosophy, simple univariate models, linear and logistic regression and hierarchical models. Numerical techniques including Monte Carlo integration, sampling importance resampling (SIR), and the Gibbs sampler will be covered, including programming in R and WinBUGS.
Tuesdays 10:30 AM - 12:30 PM (September 11 - December 4).
Purvis Hall Room 25
Five assignments, worth 20% each. There will be no midterm or final exams.