Workshop on Bayesian Data Analysis


Details
Venue Size: 30 people approx
Notice: We no longer use waiting lists for our meetups. Our conversion rate for the actual attendance list is pretty poor and we end up losing interested people.
Instead, we have an sign up list, and operate on a first-come, first-served basis. We have never been in a position to have to turn people away, and hopefully we never will, but it will be a possibility so please arrive in good time to make sure you get a place.
Many thanks to Giorgi and Viktor and the other lads at TripAdvisor for offering to host this workshop. We really appreciate it.
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This is the first in a series of workshops aimed at teaching people the basics of conditional probability and the use of Bayesian modelling for data analysis, especially the use of hierarchical models to capture relationships inherent in the structure of the data.
For those of you who attended my original workshops a few years back, the material we cover will be similar, but has now moved from BUGS and JAGS to using Stan, as I feel it is a much superior tool for this sort of work, so there should be lots of material to interest you as well.
IMPORTANT INFORMATION ABOUT OUR WORKSHOPS
For those of you unfamiliar with our workshops, it is advised that everyone brings their own laptop to get the most out of it. The venue does have power sockets and wifi, but it never hurts to have a fully-charged battery just in case.
All the code and workshop materials are available in a BitBucket repository so it is advised that people download the materials in advance though this is not strictly necessary:
http://bitbucket.org/kaybenleroll/dublin_r_workshops
Please look in the wsbda201603/ directory.
The workshop will use a few packages, but these can be installed in advance by running the install_packages.R file in that directory. In addition, the use of rstan and Stan will require a C++ compiler. This is probably already available on Linux machines and Macs, for Windows users I recommend you install the Rtools software that is available at your friendly CRAN mirror:
https://cran.rstudio.com/bin/windows/Rtools/
Please get in touch with me if you have any questions, and lots of help will be available on the night.

Workshop on Bayesian Data Analysis