An introduction to Bayesian statistics

Abstract
This is a 2-hour workshop for the Graduate School of Medical Sciences at the UMCG, Groningen. It takes place online (and perhaps also in-location; tba) from 15:00 on October 29, 2020. I aim at offering a gentle introduction to Bayesian statistics. During the first half, the most important concepts are introduced. In the second hour, I will illustrate the richness of Bayesian analyses by means of a worked-out empirical application. I will be as visual as possible, so the idea is to keep the technicalities to a minimum. The code is freely available from Github. All analyses are fully reproducible. I used R (with RStudio as the graphical user interface).
Location
University Medical Center Groningen

Authors
Jorge N. Tendeiro
(he/him)
Full Professor
Jorge N. Tendeiro is a professor at the Graduate School of Advanced Science
and Engineering, School of Informatics and Data Science, Hiroshima University,
Japan. His main research interest is in the Bayesian statistical framework.
He is also interested in item response theory in general and person fit
analysis in particular.