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Introduction to Bayesian data analysis for social and behavioural sciences using R and Stan (BDRS02)

4th November 2019 - 8th November 2019

£275.00 - £560.00

Course Overview:

This course provides a general introduction to Bayesian data analysis using R and the Bayesian probabilistic programming language Stan. We begin with a gentle introduction to all the fundamental principles and concepts of Bayesian data analysis: the likelihood function, prior distributions, posterior distributions, high posterior density intervals, posterior predictive distributions, marginal likelihoods, Bayes factors, etc. We will do this using some simple probabilistic models that are easy to understand and easy to work with. We then proceed to more practically useful Bayesian analyses, starting with general linear models, followed by generalized linear models, including logistic regression and Poisson regression, followed by multilevel general and generalized linear models. For these analyses, we will use real world data sets, and carry out the analysis with Stan using the brms interface to Stan in R. With each example, we will explore general concepts such as model checking and improvement using posterior predictive checks, and model evaluation using cross-validation, WAIC, and Bayes factors. In the final part of the course, we will delve into some more advanced topics: understanding Markov Chain Monte Carlo in depth, Gaussian process regression, probabilistic mixture models.

Intended Audience

This course is aimed at anyone who is interested to learn and apply Bayesian data analysis in any area of science, including the social sciences, life sciences, physical sciences. No prior experience or familiarity with Bayesian statistics is required.

Venue – PS statistics head office, 53 Morrison Street, Glasgow, G5 8LB – Google map

Availability – 20 places

Duration – 5 days

Contact hours – Approx. 28 hours

ECT’s – Equal to 3 ECT’s

Language – English


• COURSE WITH FREE ACCOMMODATION – includes everything listed below (only eligible for persons in academia)
• COURSE ONLY – Includes lunch and refreshments.
• ACCOMMODATION PACKAGE (to be purchased in addition to the course only option) – Includes breakfast, lunch, welcome dinner Monday evening, farewell dinner Friday evening, refreshments and accommodation. Self-catering facilities are available in the accommodation. Accommodation is approximately a 6-minute walk from the PR statistics head office. Accommodation is multiple occupancy (max 3-4 people) single sex en-suite rooms. Arrival Sunday 2nd December (between 17:00 – 19:00) and departure Friday 7th December (accommodation must be vacated by 09:15).

Other payment options are available please email oliverhooker@psstatistics.com

Cancellation policy: Cancellations are accepted up to 28 days before the course start date subject to a 25% cancellation fee. Cancellations later than this may be considered, contact oliverhooker@psstatistics.com Failure to attend will result in the full PLEASE READ – CANCELLATION POLICY: Cancellations are accepted up to 28 days before the course start date subject to a 25% cancellation fee. Cancellations later than this may be considered, contact oliverhooker@psstatistics.com. Failure to attend will result in the full cost of the course being charged. In the unfortunate event that a course is cancelled due to unforeseen circumstances a full refund of the course fees (and accommodation fees if booked through PR informatics) will be credited. However, PS statistics will not be held responsible/liable for any travel fees, accommodation costs or other expenses incurred to you as a result of the cancellation. Because of thisPS statistics strongly recommends any travel and accommodation that is booked by you or your institute is refundable/flexible and to delay booking your travel and accommodation as close the course start date as economical viable.


Dr. Mark Andrews


Teaching Format
Course Programme


4th November 2019
8th November 2019
£275.00 - £560.00


PS statistics head office
53 Morrison Street
Glasgow, Scotland, G5 8LB United Kingdom
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