The conference will take place at Liverpool Hope University, Hope Park Campus, 29th – 31st August 2018.
The conference dinner will be held at the Hilton Hotel on Thursday 30th August. Coaches will transport delegates from Hope Park Campus to the Dinner venue and will be able to return people to the University after the dinner has finished. However, the Conference Dinner venue is located between Liverpool One and the Albert Dock, providing the perfect opportunity for delegates to explore Liverpool City Centre. Conference dinner attendance is included in both the 3 day residential and 3 day non-residential packages.
On the Tuesday 28.08.18 we will be holding a Bayes Satellite workshop run by Dr Mark Andrews (Nottingham Trent University) which will run from 1pm - 5:30pm with a coffee break. This workshop is being offered free of charge for all members of the Cognitive Section (See Registration Tab for details on how to join the Cognitive Section). Non-members are welcome to attend the workshop for a small fee. The workshop is limited to 30 participants and will be allocated on a first come first serve basis. To attend the workshop, please book when you register to attend the conference (Registration opens 19.03.18). Accommodation on Campus is also available for 28.08.18. Please note that all workshop participants will need to bring their own laptop with them to complete the practical elements of the course.
This workshop provides a practical introduction to Bayesian data analysis. We will start by describing the fundamental concepts of Bayesian statistical inference, and contrast these with frequentist methods of inference. Then, using a simple case study, we will explore all the major concepts and issues in Bayesian statistics including priors, likelihood functions, posterior inference, posterior predictive inference, Bayes factors, out-of-sample generalization, and so on. We will then turn to doing Bayesian general and generalized linear regression models and their multilevel counterparts. It is hoped that this workshop will provide a useful introduction to the theory and practice of Bayesian data analysis, and provide an introductory guide on how to use Bayesian methods in psychological research.