What's the Difference? Classical vs Bayesian

What's the Difference? Classical vs Bayesian
What's the Difference? Classical vs Bayesian

Principal speaker

Associate Professor Sama Low-Choy

Other speakers

Mari Takashima | Daniela Vasco


This workshop helps newcomers to Bayesian analysis transition from their classical understanding of statistical modelling to a Bayesian one. Regression provides a simple and versatile context for enabling this transition. We explain the subtle differences in interpretation of model outputs, which are most evident in small samples. Examples are used to 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.

This session will be interactive and will involve discussion in small groups.

Recommended prerequisite: Expanding your statistical universe from Hypothesis Testing to Modelling.


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