Bayesian Modeling for Cognitive Science: A Workshop in Amsterdam

We are delighted to announce that registration is now open for the annual Amsterdam workshop on probabilistic modelling for cognitive science. The eighth installment of this workshop takes place August 26-30, 2019.


In this workshop, plenary lectures provide the theoretical background of Bayesian statistics, and practical computer exercises teach participants how to use the popular JAGS and WinBUGS programs and apply them to a wide range of different statistical models. After completing this workshop, participants will have gained not only a new understanding of statistics, but also the technical skills to implement models that are appropriate for the substantive hypotheses of interest.

Target audience

This workshop is meant for researchers who want to learn how to apply Bayesian inference in practice. Most applications we discuss are taken from the field of cognitive science. Because the workshop is based on a set of book chapters and concrete exercises of varying difficulty, the course material is appropriate for researchers with a wide range of prior knowledge and interests. Although some basic knowledge of Bayesian inference is an advantage, this is not a prerequisite. In the course we use JAGS or WinBUGS in combination with R or Matlab (the choice is yours), and therefore some basic knowledge of either R or Matlab is also an advantage.

Course contents

Michael Lee and Eric-Jan Wagenmakers have published a course book about Bayesian graphical modeling. This book is used to teach graphical modeling courses at several universities, including University of California Irvine, Ohio State University, the University of Washington, Tufts, Rutgers, Stanford, and the University of Amsterdam. This course book will form the basis of this workshop. At the start of the workshop, you will receive a printed copy of the latest version of the book, a memory stick with all the computer code, and the solutions to the exercises.


More information on the workshop can be found here.

Register Now


(PhD-)student: 550 euro
Other: 650 euro


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