Introducing Bayes factors and marginal likelihoods
Provides an introduction to Bayes factors which are often used to do model comparison. In using Bayes factors, it is necessary to calculate the marginal likelihood – another term for the denominator of Bayes rule. This video explains that marginal likelihoods are notoriously difficult to calculate and are sensitive to the choice of priors; even when changes to priors do not affect the posterior distribution.
This video is part of a lecture course which closely follows the material covered in the book, "A Student's Guide to Bayesian Statistics", published by Sage, which is available to order on Amazon here: https://www.amazon.co.uk/Students-Gui...
For more information on all things Bayesian, have a look at: https://ben-lambert.com/bayesian/. The playlist for the lecture course is here: • A Student's Guide to Bayesian Statistics