Building and Customising Statistical Models with Stan and R: An Introduction to Bayesian Inference workshop
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Join our workshop on Building and Customising Statistical Models with Stan and R: An Introduction to Bayesian Inference, which is a part of our workshops for Ukraine series!
Here’s some more info:
Title: Building and Customising Statistical Models with Stan and R: An Introduction to Bayesian Inference
Date: Thursday, November 13th, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone)
Speaker: Matteo Lisi is a Lecturer (assistant professor) in the Department of Psychology at Royal Holloway, University of London. His research uses experimental methods and computational modelling to study how people represent and use information about uncertainty when making decisions. He teaches statistics and data analysis with a focus on making modelling concepts practical and transparent. Matteo is co-author of Statistics for Psychology Using R: A Linear Models Perspective (Open University Press / McGraw-Hill, 2025), an accessible, modern introduction to statistical modelling in R. More info at mlisi.xyz
Description: Bayesian modelling offers a powerful way to understand data — but getting started can feel daunting. This workshop provides a practical introduction to Bayesian inference using Stan and R, aimed at researchers who are ready to move beyond standard statistical packages.
We’ll start from familiar ground with generalised linear models, and then work through a series of worked examples showing how Stan’s flexibility allows you to build and adapt models for more specialised applications. One of the key advantages of coding your models directly into Stan language is that it lets you build the model you want, instead of being limited to a predefined set of options.
The session aims to provide you with hands-on experience specifying, fitting, and interpreting Bayesian models in Stan, and a clear sense of how to extend these methods to your own data. No prior experience with Bayesian analysis or Stan is required, though familiarity with R and regression modelling will be helpful.
Minimal registration fee: 20 euro (or 20 USD or 800 UAH)
Please note that the registration confirmation is sent 1 day before the workshop to all registered participants rather than immediately after registration
How can I register?
- Go to https://bit.ly/3wvwMA6 or https://bit.ly/4aD5LMC or https://bit.ly/3PFxtNA and donate at least 20 euro. Feel free to donate more if you can, all proceeds go directly to support Ukraine.
- Save your donation receipt (after the donation is processed, there is an option to enter your email address on the website to which the donation receipt is sent)
- Fill in the registration form, attaching a screenshot of a donation receipt (please attach the screenshot of the donation receipt that was emailed to you rather than the page you see after donation).
If you are not personally interested in attending, you can also contribute by sponsoring a participation of a student, who will then be able to participate for free. If you choose to sponsor a student, all proceeds will also go directly to organisations working in Ukraine. You can either sponsor a particular student or you can leave it up to us so that we can allocate the sponsored place to students who have signed up for the waiting list.
How can I sponsor a student?
- Go to https://bit.ly/3wvwMA6 or https://bit.ly/4aD5LMC or https://bit.ly/3PFxtNA and donate at least 20 euro (or 17 GBP or 20 USD or 800 UAH). Feel free to donate more if you can, all proceeds go to support Ukraine!
- Save your donation receipt (after the donation is processed, there is an option to enter your email address on the website to which the donation receipt is sent)
- Fill in the sponsorship form, attaching the screenshot of the donation receipt (please attach the screenshot of the donation receipt that was emailed to you rather than the page you see after the donation). You can indicate whether you want to sponsor a particular student or we can allocate this spot ourselves to the students from the waiting list. You can also indicate whether you prefer us to prioritize students from developing countries when assigning place(s) that you sponsored.
If you are a university student and cannot afford the registration fee, you can also sign up for the waiting list here. (Note that you are not guaranteed to participate by signing up for the waiting list).
You can also find more information about this workshop series, a schedule of our future workshops as well as a list of our past workshops which you can get the recordings & materials here.
Looking forward to seeing you during the workshop!
Building and Customising Statistical Models with Stan and R: An Introduction to Bayesian Inference workshop was first posted on October 16, 2025 at 10:57 am.
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