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|
|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.