Workshop on Bayesian Inference by Dr. R.D. Morey
Presented by Richard Morey, Faculty of Behavioural and Social Sciences
Bayesian analysis is quickly becoming part of the standard in the behavioural and social sciences. It has many advantages over some of the standard analyses: easier interpretation of parameter estimates, straightforward implementation and fitting of complex multilevel models, the ability to argue for models with null effects over more complex ones, and a principled accounting of epistemic uncertainty. Bayesian analysis is a powerful tool for scientific data analysis. One of the most compelling aspects of Bayesian analysis is the ability to formally compute statistical evidence. The Bayes factor – a measure of rational belief change compelled by the data – is a straightforward measure of evidence from the data.
In this workshop, participants will learn about the justification, advantages, and practical aspects of Bayesian analysis using linear mixed models. In addition, participants can attend a lab session to get guided hands-on experience.