This workshop will be the third in a series introducing the concepts of Bayesian Data Analysis. It is expected that this will be the finish off the series.
As before, I strongly recommend that attendees bring their own laptop as the material is based around interactively working with the problems, running code yourself, and trying to create plots and charts to visualise the output.
We continue the analysis of a coin toss problem, and previous workshops have laid the foundation of understanding conditional probability, and how the Bayesian approach uses this concept to help model and understand the problem.
In this workshop we will introduce the hierarchical approach, how JAGS allows us to use these hierarchical models, and use the outputs of these samplers to make inferences on the various parameters of the models. We will focus in particular on using visualisation of the data, and so a basic familiarity with plotting and graphing systems in R will be helpful. In the workshop, I will be using the ggplot2 package for visualisation, but a few alternatives exist.
New attendees are always welcome, though I would recommend people take a look at the workshop material provided in the Files section of the meetup group. Feel free to get in contact with me should you have any questions regarding the material in the workshop or the files I have provided.
There will be a small entrance fee to cover the cost of the venue.