Bayesian Statistics in Practice

You’ve probably heard about Bayesian statistics. Maybe Bayesian statistics were introduced to you as the kind of statistics that cool scholars use, or even as the solution to all statistical problems. The first one is definitely true, the second, of course, depends.
In this workshop you’ll learn about the main ideas behind Bayesian statistics and how they compare to frequentist statistics. We will discuss what reasons you can have to choose Bayesian statistics, and how to do this in practice. Furthermore, we will consider common pitfalls, the evaluation, interpretation and reporting of results.
The workshop will cover both hypothesis testing (with Bayes factors) and Bayesian estimation (with informative priors). You will learn about different software and R packages and receive exercises that can be executed in several packages. Interactive elements will be integrated throughout the workshop.  
This workshop is meant for researchers who want to learn about Bayesian statistics in general and how to apply it in practice. Most applications we discuss are longitudinal structural equation models taken from the field of developmental science. The only required prior knowledge concerns your own field of expertise and being able to install software on your computer.

MARIËLLE ZONDERVAN-ZWIJNENBURG is an assistant professor at the Department of Methodology and Statistics at Utrecht University. Mariëlle’s research interests are Bayesian evidence synthesis, longitudinal structural equation modeling and informative priors. Since Mariëlle also completed the Research Master Development and Socialization in Childhood and Adolescence (cum laude) and is embedded in the CONSORTIUM INDIVIDUAL DEVELOPMENT, she frequently collaborates with developmental researchers and develops methods that enable social science researchers to make optimal use of their data.