Program and registration

Course dates

Edition 23: Send a request for selecting a date.


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 – Maximum likelihood
11:30 – 12:00 Lineair regression
12:00 – 12:45 Bayesian parameter estimation
12:45 – 13:30 Nice lunch


13:30 – 14:00 Prior probabilities – Maximum entropy
14:00 – 15:00 Bayesian model selection – Applications
15:00 – 16:00 Prediction – Missing data – Hyperparameters
16:00 – 17:00 Non-lineair optimisation – Neural networks – MCMC
17:00 – 17:15 Rounding up


What do you learn in the Bayesian statistics course?

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

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.

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.


The course Bayes in Action can also be given as an in-company course.
Price on request.




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.