Master Class 2
- On 4 September 2015, the second PPS-UL-organized master class will take place at UL. The topic of this class is "Bayesian statistics: theory & practise" and will be given by Dr. Richard D. Morey.
About Dr. Richard D. Morey
Dr. Morey is Senior Lecturer at the School of Psychology of the renowned Cardiff University. He is part of the Cognitive Science Research Group and his primary line of research is developing Bayesian hierarchical models for applications in psychological research. Dr. Morey is currently working on several research projects, including beyond others "Bayes Factors for Inference", "Statistical Models for Psychophysical Thresholds" and "Statistical Models for Working Memory Capacity". Moreover, Dr. Morey has published numerous research papers in peer-reviewed journals such as "Psychonomic Bulletin & Review" and "Statistics & Probability Letters". Dr. Morey holds his Ph.D. in Psychology (2008) and two M.A. degrees in Psychology (2004) and Statistics (2008) from the University of Missouri-Columbia.
An Introduction to Bayesian Inference
Abstract: Bayesian inference has become a standard inference tool among statisticians, but the advantages of Bayesian inference have been slow to trickle down to applied researchers. While these advantages -- such as flexibility, conceptual clarity, and an interface with epistemology -- are difficult to overstate, they are only theoretical if software and education do not exist to support them. Recently a number of advances have put Bayesian methods within the reach of applied researchers. This three hour workshop will introduce the theory behind Bayesian inference and will illustrate the BayesFactor and JASP software, which allow easy Bayesian linear model analysis within R, allowing researchers to supplement or replace their traditional t tests, ANOVAs, and regressions with Bayesian analyses. The adoption of Bayesian methods would represent a substantial step forward for methodology in the social sciences.