Mel Slater is a Distinguished Investigator at the University of Barcelona, and co-Director of the Event Lab (Experimental Virtual Environments for Neuroscience and Technology). He was previously Professor of Virtual Environments at University College London (UCL) in the Department of Computer Science. He was awarded the 2005 IEEE Virtual Reality Career Award: 'In Recognition of Pioneering Achievements in Theory and Applications of Virtual Reality'. He is Field Editor of Frontiers in Virtual Reality, and Chief Editor of the Human Behaviour in VR section. He was awarded the Humboldt Research Prize from Germany in 2020. He is a Fellow of the Royal Statistical Society.
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Description
Chapter 1: Probability Chapter 2: Probability distributions Chapter 3: Models and inference Chapter 4: Relationships between variables Chapter 5: General models Chapter 6: Questionnaires and non-quantitative responses Chapter 7: Multiple issues
A concise and engaging introduction to Bayesian statistics for newcomers in the social sciences, using real world data to highlight these powerful methods of statistical inference. -- Alex Jones