Bayesian modelling with R

Bayesian models become more prominent thanks to the modern computing technologies. In this meeting, you will take a Bayes tour with Jiali (Data61, CSIRO) of the basics in Bayesian inference, coding from scratch in R and implementation using Stan software (interface with R)! A normal model will serve as the building block, and then you will go through examples of hierarchical models and semi-parametric models for multilevel data or longitudinal data (different disciplines have different names for essentially the same model, but we will convergence!) The R examples will be demonstrated in R Markdown, so please come along if you are interested in learning basics of R Markdown.

Bringing a laptop is totally optional, but you are encouraged to do so if you are keen on having some hands-on experiences of running your own Bayesian models. Don’t worry about taking notes, all the materials and R code will be shared with you later.

There will be time for discussions /networking after the tutorial, so make sure to bring any of your questions; there might be experts in the room who can help solving your problems!

Looking forward to seeing you there!