Hi, everybody!
We are super excited to have Angelika Stefan with us PhD candidate at the Psychological Methods department at the University of Amsterdam, - sharing her knowledge with us Bayesian statistics with R!
DESCRIPTION
Bayesian data analysis presents an attractive alternative to p-value hypothesis testing. In the past years, Bayesian methods have become increasingly popular because they provide several advantages to the applied researcher, such as the ability to quantify evidence and successively update it as data come in.
In this workshop, I will give an introduction to the basic concepts of Bayesian statistics, such as the prior distribution, the posterior distribution, and the Bayes factor. After a brief conceptual introduction, we will fit a simple Bayesian model using just Base-R. I will finish the workshop by giving an outlook to more complex models, and present R-packages that can be used for advanced hypothesis testing and parameter estimation in the Bayesian framework.
ABOUT ANGELIKA
