Program and registration

Course dates

Edition 23: Thursday October 31st, 2019, in Amsterdam. This is the last opportunity to attend this course. 


Per participant € 599
(€ 495 excl. 21% VAT)
for the one day course


Knowledge transfer through demonstrations and discussion during the course


Includes extensive Bayesian statistics course manual


A certificate of participation for the statistics course is available

course program

09:45 – 10:00 Walk in – Introduction – Coffee, tea and cookies
10:00 – 10:30 Data and models – What is your model?
10:30 – 11:30 Least squares – Overfitting
11:30 – 12:00 Data handling problems
12:00 – 12:45 Why Bayes’ theorem?
12:45 – 13:30 Nice lunch


13:30 – 14:00 Prior probabilities                              
14:00 – 14:30 Posterior probabilities
14:30 – 15:00 Prediction – Missing data
15:00 – 15:30 Model selection
15:30 – 16:30 Lots of discussion


What do you learn in the course?

Bayes in Action is a short and effective one-day training that helps you to master the basics of Bayesian regression.

The goal is to demonstrate professional data analysis. All topics are explained with examples, but with as little mathematics as possible. The course is at MSc – PhD level of thinking.

Moreover, there is ample time to answer your questions and for an extensive substantive discussion.



The course location is:
Nieuwpoortkade 25
+31 20 820 8625

Route can be found here. 

Parking: you can almost always park in this neighborhood. Of course, against payment.


Bayes in Action is also a module in a mentoring program.

Details on this program can be obtained by via the Contact form.




Dr. Romke Bontekoe

is your trainer. He has learned Bayesian statistics in practice. Simply by applying Bayes to challenges where standard methods did not work. But where his gut feeling was that there had to be a solution.

is now 60+ years and regards it is time to transfer his knowledge and experience to the younger generation. He holds a PhD in astronomy (1988) from the University of Groningen.

his resume can be found at and on LinkedIn.