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Bayesian Data Analysis Workshop Series

Introduction to advanced Bayesian multilevel modeling - Workshop Three

Newton atrium roof

This workshop focuses on advanced probabilistic modeling in Bayesian data analysis, and in particular, Bayesian data analysis using multilevel regression models.

  • From: Tuesday 22 September 2015, 9 am
  • To: Tuesday 22 September 2015, 5 pm
  • Location: 424, Chaucer building, Nottingham Trent University, City Campus, Goldsmith Street, Nottingham, NG1 5LT
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Past event

Event details

This workshop focuses on advanced probabilistic modeling in Bayesian data analysis, and in particular, Bayesian data analysis using multilevel regression models.

Workshop content

Given that Bayesian inference in almost all advanced probabilistic models is analytically intractable, the initial focus of this workshop will be on the theory and practice of Monte Carlo, and particularly Markov Chain Monte Carlo (MCMC), methods for drawing random samples from posterior probability distributions. Despite its relatively advanced nature, it is important to emphasise the MCMC methods are not a niche topic in Bayesian data analysis. They are at the heart of almost all modern applications of Bayesian data analysis, and they are what have allowed Bayesian methods to become so influential in modern statistics. In addition, this workshop will also focus heavily on the nature and practice of multilevel regression modeling.

Multilevel models are becoming increasingly prevalent in data analysis in psychology and the social sciences. Inference in multilevel models presents major challenges for classical methods, while inference using Bayesian methods is always possible in principle. The practical activities in this workshop will largely focus on the use of the BUGS/JAGS macro language. This is an extremely powerful general tool for Bayesian data analysis as it allows for MCMC based inference in arbitrary probabilistic models. We will introduce BUGS/JAGS by way of relatively simple models, followed by in depth application to multilevel models.


The prerequisites for this workshop are fulfilled by the contents of workshops one and two. Specifically, we assume both practical and theoretical competence with the simpler analytically tractable Bayesian models such as Bayesian t tests, ANOVA and linear regression. We will also assume that attendees are familiar with the R statistical computing environment.

Learning outcomes

On completion of this workshop, we expect attendees to be able to confidently perform and understand Bayesian data analysis when applied to real-world complex data sets of the kind routinely encountered in research in psychology and social sciences. They will also be familiar with the general principals of MCMC methods and how these are an essential practical tool for Bayesian inference in complex statistical models.

Indicative reading

Kruschke, J. K. (2011). Doing Bayesian data analysis. Burlington, MA: Academic Press.

Gelman, A., Hill, J. (2007). Data analysis using regression and multilevel/hierarchical models. New York, NY: Cambridge University Press.


Bursaries are available to apply for, to assist with costs associated with attending this workshop. Please see Bookings tab for further information. Please note that only PhD students who attend UK HE institutions are eligible to apply for this bursary.


A detailed programme for the day will be published a little closer to the workshop date.

Booking information

Workshop Fees

Please note that all fees are inclusive of VAT. To book your place please visit the online store.

Booking OptionFee
Full Workshop Fee£20.00
Full Workshop Fee - Postgraduate student rate£10.00

Location details


424, Chaucer building


Nottingham Trent University
City Campus
Goldsmith Street

Past event

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