Bayes@Lund - Conference about Bayesian methods
09.15-10.00 Why not to be afraid of priors (too much), Paul-Christian Bürkner, University of Münster, Department of Psychology.
10.00-10.20 Bayesian 3D Priors for Brain Imaging, Per Sidén, Lindköping university, Department of Computer and Information Science.
10.20-10.40 Coffee break
10.40-11.40 Session: Bayesian Regression Models using Stan
- Introducing the brms R package, Paul-Christian Bürkner, University of Münster, Department of Psychology.
- A hands-on example of Bayesian mixed models with brms, Andrey Anikin, Lund University, Cognitive Science.
- Analyzing an experiment on involuntary attention using brms, Antonio Schettino, Ghent University, Department of Experimental Clinical and Health Psychology.
- Analyzing orientation behaviour in animals using Stan, John Kirwan, Lund University, Department of Biology.
12.00-12.45 Sandwich lunch and mingle in the foyer
12.45-13.30 I know what you ate last summer! – the virtue of Bayesian analysis in food risk assessment, Jukka Ranta, Evira Finnish Food Safety Authority, Risk Assessment Unit.
13.30-13.50 Inference in ecology and evolution beyond generalised linear mixed models, Reinder Radersma, Lund university, Department of Biology.
13.50-14.00 Quick break
14.00-15.00 Session: Bayesian hypothesis testing
- Is there something out there? Ullrika Sahlin, Lund University, Centre for Environmental and Climate Research.
- Bayes Factors: A ‘re-volution’ in psychology, Geoff Patching, Lund University, Department of Psychology.
- Sequential Testing with Information Criteria and Evidence Ratios, Ladislas Nalborczyk, Univ. Grenoble Alpes & Ghent University.
15.00-15.30 Coffee and cake
15.30-16.15 Session: Approximate Bayesian inference
- What to do when exact Bayes is impossible? Some tools for approximate Bayesian inference, Umberto Picchini, Lund University, Centre for Mathematical Sciences.
- Making the most out of a single datapoint using Approximate Bayesian inference, Denis Shepelin, Department of Computer and Information Science, Linköping University.
16.15-16.30 How I introduce Bayes to beginners, Rasmus Bååth, King Digital Entertainment.