Lawrence Joseph
Bayesian statistics

Division of Clinical Epidemiology
McGill University Health Centre
2155 Guy Street
Room 343
Montreal, Quebec
Canada, H3H 2R9
Course outline
Basic information
Instructor Lawrence Joseph
Credits 2
Course Objectives and Topics CoveredTo 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.
TimeTuesdays 10:30 AM - 12:30 PM (September 11 - December 4).
PlacePurvis Hall Room 25
AssessmentFive assignments, worth 20% each. There will be no midterm or final exams.
Assignment due dates
1    2    3    4    5
October 2, 2012
 October 16, 2012
 October 30, 2012
 November 13, 2012
 December 4, 2012
TextbookAndrew Gelman, John Carlin, Hal Stern and Donald Rubin. Bayesian Data Analysis, 2nd Edition, Chapman and Hall, 2003. Textbook review of Gelman et al
PrerequisitesEPIB 607 and EPIB 621 or permission from the instructor.