# Introduction to Bayesian data analysis for social and behavioural sciences using R and Stan (BDRS01)

## 3 December 2018 - 7 December 2018

£275.00 - £510.00### Event Navigation

## 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 – 30 places

Duration – 5 days

Contact hours – Approx. 28 hours

ECT’s – Equal to 3 ECT’s

Language – English

### Packages

We offer COURSE ONLY and ACCOMMODATION PACKAGES;

• 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 (after 5pm) and departure Friday 7th December (accommodation must be vacated by 9am).

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 cost of the course being charged. In the unfortunate event that PS statistics must cancel this course due to unforeseen circumstances a full refund for the course will be credited. However PS statistics cannot be held responsible for any travel fees, accommodation or other expenses incurred to you as a result of the cancellation.

### Dr. Mark Andrews

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