Lectures and seminars Learn Bayes: Bayesian Workflow
24-04-2025 11:00 am - 12:00 pm Add to iCal
Campus Solna Online
Aki Vehtari is a professor in Computational Bayesian Modeling at Aalto University.

Illustration: Simon Steiger.
In his talk Aki will introduce the Bayesian approach to data analysis as a powerful framework to handle uncertainty in all observations and model parameters. He will discuss the practical challenges in implementing Bayesian inference to solve real-world problems, which requires skills not only in statistics but also in the subject domain and in probabilistic programming.
The Zoom link will be sent via the Biostats mailing list before the event.
This seminar is one of the events in the Learn Bayes spring program 2025.