In dark December we are happy to host Aki Vehtari from Aalto University, Finland, who will show us how to implement Bayesian methods using the Stan software.
- Stan is a probabilistic programming language implementing full Bayesian statistical inference.
- Stan is coded in C++ and runs on all major platforms.
- Stan is open source.
We will use practical hands-on session with the Stan software (no preliminary knowledge of Stan required).
The following topics will be covered:
– intro to the Bayesian way of thinking uncertainties; intro to Monte Carlo methods for Bayesian inference;
– Bayesian inference using the Stan programming language;
– groups comparison; standard linear models, generalised linear models;
– examples of further possibilities offered by Stan.
– discussion and question-and-answer around data provided by participants.
Location: Matematikcentrum and LUX, Lund University
Date: 10 December 2015
Event page and registration: http://www.maths.lth.se/matstat/staff/umberto/bayes-vehtari.html
This event is organized by the Advanced Study Group in Bayesian methods which is hosted by Pufendorf Institute.
For questions and info please contact Umberto Picchini at umberto@maths.lth.se