Foundations in Statistical Thinking - Session 3: What’s the Difference? Classical vs Bayesian Statistical Modelling
Pre-requisites: “Expanding your statistical universe” Workshop or Equivalent Background
Date: | 08 September 2020 |
Time: | 10:00 AM - 2:00 PM |
Venue: | Online |
Contact: | Workshop abstracts and details about how to apply are available here. |
Save to calendar: | Download |
This workshop helps newcomers to Bayesian analysis transition from their classical understanding of statistical modelling to a Bayesian one. Using regression to provide a simple and versatile context for enabling this transition, we explain the subtle differences in interpretation of model outputs.
Examples used will illustrate the impact of prior choices, from non-informative to informative, conjugate and otherwise. You will gain experience in how the prior can be harnessed to support a continually adaptive approach to updating your model as new information arrives. Code to reproduce examples will be provided in R.