Introduction to Bayesian statistics
Workshop series
Computational and Data Systems Initiative
This workshop will provide an introduction to basic concepts in Bayesian inference. Topics that will be covered include estimation and hypothesis testing under the Bayesian paradigm, prior specification as well as an introduction to Bayesian computation. The workshop will include hands on examples of parametric inference in R using R-packages that rely on Stan (rstanarm and brms).
At the end of this workshops participants will be able to:
> Specify simple Bayesian models (including priors);
> Make Bayesian inference in single parameter models;
> Fit linear and generalized linear models using rstanarm or brms.
Pre-requisites: basic knowledge of R and basic knowledge of probability theory and statistics (e.g. an Intro to probability or Intro to stats undergrad course).
*Note the day and time differ from our other statistics workshops.
Date: Thursday, March 21, 2022
Time: 3PM to 5PM
Location: Burnside Hall room BH511, inside the Geographic Information Center.
Instructor: Shirin Golchi, Dept. of Epidemiology, Biostatistics and Occupational Health, Faculty of Medicine, McGill.
