## Questions on Paul Lewis phylogenetics primer part 3b – Introduction
to Bayesian statistics

The content of this talk is fairly advanced but some of it will come
in handy for subsequent parts of the course.

- How are steps chosen in an MCMC analysis?

- Give an example of a parameter you would estimate under each of the
following prior distributions and try to state why?

- Gamma distribution
- Lognormal distribution
- Beta distribution
- Dirichlet distribution

- Why do we sometimes need to calculate the marginal likelihood?

- What is the difference between a hierarchical model and a
non-hierarchical model?

- Briefly explain how stepping stones can be used to calculate the
marginal likelihood (advanced).

## Notes

*Congratulations you’ve reached the end of some pretty advanced
talks! Don’t worry if you didn’t understand everything, we’ll go over
everything together in class!*