# BDACM_2018

Class material for "Bayesian Data Analysis & Cognitive Modeling" 2018

Project maintained by michael-franke
Hosted on GitHub Pages — Theme by mattgraham
## Projects

At the end of the semester, you will need to complete a final project.
There is a broad range of topics you may choose, ranging from purely
conceptual to purely technical. As long as your chosen project is
related to Bayesian methods, it should be appropriate.

Projects can be completed individually, or in a group, but should be
planned in consultation with us. The final session of the semester
will consist of project presentations in which each group (or
individual) should present a project, with opportunities for
discussion.

The due date for projects is March 31st 2019.

## Possible topics

Below is a list of possible project ideas to get you started:

- analyse a pre-existing data set with Bayesian methods
- investigate r-nimble,
pyro and/or greta
- compare benchmarks, user-experience, future prospects

- rewrite the R and Stan code accompanying the examples from a
textbook (e.g. Lee & Wagenmakers) to use more up-to-date methods and
syntax
- program HMC in a programming language of your choice
- program an R package to improve BDA workflows
- discussion paper – see the special issues of Psychological Methods
for a start Part 1,
Part 2
- can be mathematical, technical, or philosophical