Courses and Events
Bayesian Analysis using WinBUGS / OpenBUGS
04/04/2017 - 05/04/2017
The University of Manchester
View in Goolge Maps (M13 9PL)
Use of Bayesian methods is becoming increasingly widespread within quantitative social and health sciences, particularly for analysing data with complex structure, such as hierarchical or multilevel data. However, very few applied researchers have any formal training in Bayesian methods. This two-day course aims to introduce quantitative researchers to the basic principles of Bayesian inference and simulation-based methods for estimating Bayesian models, and to highlight some of the potential benefits that a Bayesian approach can offer. There is a large practical component to this course with time for hands-on data analysis using examples drawn mainly from the social and health sciences.
Statisticians, data analysts and quantitative researchers who are interested in finding out what Bayesian methods are all about, and how to implement some simple Bayesian models using the WinBUGS software. The course would also be of interest to researchers with experience of multi-level modelling using likelihood-based methods who wish to find out more about fitting and interpreting Bayesian versions of multi-level models. No previous experience of Bayesian methods or the WinBUGS software is required.
Dr Guangquan Li and Dr Pete Philipson
University of Manchester (DTC Course)
Intermediate (some prior knowledge)
£390 (£280 for those from educational, government and charitable institutions).
Website and registration
Bayesian analysis , , WinBUGS , , OpenBUGS , , hierarchical models , , MCMC
Related publications and presentations