Here you can find information about the different set of tools that you must have installed to profit the most from the ADA8 tutorials.
Please, have the BTSync (https://www.getsync.com/) software installed in your computer. Using this tool you will be able not only to download the required software in place during the ADA8 Summer School, but you will also contribute with the other participants who will need to download the software at the venue — this is a file synchronization tool that uses the Bit Torrent protocol. After you install the software, click in the following link: ADA8-2016 Folder, and you should have access to the necessary files.
Sparsity — 22nd May
For the Sparsity tutorial you are requested to use the Virtual Machine image that can be found at the ADA8-2016 Folder.
If you insist in using your own environment, you can access the tutorial notebooks that can be found at the following GitHub repository: ADA8 Sparsity Tutorial Notebooks.
For more information, contact the tutor clicking at : Samuel Farrens.
Bayesian 1 — 23rd May
The tutorial will be made of theoretical and practical modules. The examples will be demonstrated in R, but familiarity with the language is not a requirement. People not familiar to R will be able to follow all examples and discussions. In fact, if you wish to start getting used to R this might be a good opportunity.
In order to optimize the time spent in examples and practical applications it is advised the participants to get the following software up and running in advance:
￼￼￼Once Rstudio is installed you need to install a few R packages. These can be done:
1. Using Rstudio tools bar (Tools > Install packages). A window will popup where you can select: Choose from: Repository (CRAN) Packages (separate multiple with space or comma): R2jags, MASS, Scales, mcmcplots, ggplot2, plot3D
￼2. Alternatively, you can simply type in R or in the Rstudio console window
pac <- c("R2jags", "MASS", "scales", "mcmcplots", "ggplot2", "plot3D");
This should be enough to get you ready for the exercises we will be working on.
You can find the scripts used to illustrate the theoretical concepts of Bayesian Modeling using synthetic and real data and step by step instructions at the following webpage:
The slides of this tutorial can be found in the following link: https://github.com/RafaelSdeSouza/ADA8/blob/master/Slides/ada-tutorial.pdf
For more information, contact the tutor clicking at : Rafael Souza.
Bayesian 2 -- 23rd May
The school participants are advised to have a working Python installation on their computers. For simplicity and convenience of usage, Canopy from Enthought, is suggested:
While this is a commercial package, it's free with an academic email address (and works cross-platform). I recommend installation *before the start of the school* for it can be a little bulky to download (but very straightforward to install).
For this tutorial, you can download further data from:
SNIa toy data set: https://www.dropbox.com/s/9csvgm7thl2ese4/SupernovaeData.txt?dl=0
If you want to be sure that you will have these materials during the tutorial, please, download them before the tutorial!
For more information, contact the tutor clicking at: Roberto Trotta.