The final project is in place of a final exam.

Due date: Wednesday April 28th.

Task: Investigate a Bayesian topic of interest to you, and write a report on your findings.

There is no restriction on topic as long as there is a Bayesian connection. Also, the topic can overlap a little with something we've talked about in class, but can't simply be a repeat of something we've covered. For students from other departments, you are welcome, and in fact encouraged, to write about application of Bayesian techniques in your field.

Credit will be based on demonstrating clear understanding of the topic, in an organized and thoughtful manner.

I would like to see something empirical in your report (e.g., actually determining posterior quantities), in addition to presenting concepts and citing work of others. However, I am not expecting to see implementation of a very complex MCMC scheme applied to a very complex data structure. If the topic you choose tends to involve complicated modelling and computation, feel free to provide an empirical example in a simplified setting. Again credit is based on clear exposition, not on the extent of technical cleverness, bearing in mind that this is coursework, not thesis work.

As a guideline, I suggest you try to keep your report, including any figures and tables, to within 10 pages. I am looking for quality rather than quantity, especially in light of the relatively tight timeframe.