1st Modelling Symposium:
Bayesian Modeling of Motivated Behavior
Organized by Felix Ball, Emanuele Porcu, Nico Marek, & Tömme Noesselt
Funded by ...
Overview
Registration is closed (for now waiting list only)
We are happy to announce the renewal of the Bayes Symposium. The 2nd Bayes Symposium provides once more a mix of theoretical and application-oriented introductions to Bayesian modelling. This year's symposium is split into two parts: basic and advanced Bayesian modelling (2 days each). Furthermore, we will welcome a new tutor -- Dr. Paul-Christian Bürkner -- who also brings along new topics.
Detailed Program
Basic Part
Monday
09.00 - 09.30: Welcome to Magdeburg: Who we are, what we do,
what will happen
09.30 - 11.30: Basic concepts of Bayesian statistics
Break
12.30 - 14.30: Bayesian hypothesis testing and model comparison
Break
15.00 - 17.00: Fitting simple Bayesian models with Stan
Break
17.15 - 18.30: OPTIONAL - Discussing your data models
Tuesday
09.30 - 11.30: Introduction to linear multilevel models
Break
12.30 - 14.30: Introduction to generalized linear models
Break
15.00 - 16.00: Preparing data for use in multilevel models with R
16.00 - 17.00: Discussion - Pros and Cons of Bayesian statistics
Break
17.15 - 18.30: OPTIONAL - Discussing your data models
Advanced Part
Thursday
09.30 - 11.30: Fitting response times models brms
Break
12.30 - 14.30: Fitting ordinal models with brms
Break
15.00 - 17.00: Fitting non-linear models with brms
Break
17.15 - 18.30: OPTIONAL - Discussing your data models
Friday
09.30 - 11.30: Present your data - How will you apply Bayes statistics?
Break
12.30 - 14.30: Introduction to Bayesian ideal observers I
Break
15.00 - 16.00: Introduction to Bayesian ideal observers II
16:00 - 17:00: Combining behavioral and neuroimaging data
Short break
17.10 - 18.00: Summary and final discussion
OPTIONAL - Discussing your data models
When & Where
Basic Part
- 30.07.2018 - 31.07.2018; Start 9 am
Dinner
- 31.07.2018; Start 7 pm
- We will dine at the Hoflieferant.
Wednesday off!
- There has to be some time to digest!
Advanced Part
- 02.08.2018 - 03.08.2018; Start 9 am
Location
- Universitätsplatz campus, Gebäude 28, room 27
How to get to Magdeburg and getting accomodation
Software, Code, Equipment, & Requirements
Software: This year, we will use R instead of Matlab! R is a open-source software for data analysis. With Rstudio you also get a nice GUI environment. We will mainly use the R package brms, which is based on the program package Stan.
Code: All code will be regularly updated in the download section at the end of this page. Please check for updates. Major updates will be announced.
Equipment: You will need a laptop. We will provide power sockets.
Requirements: As we will use a programming language (i.e. R) you should be familiar with it or should at least be proficient in another programming language such as Matlab or Python. Anyways, it will be advantages to familiarise yourself with R beforehand. Check out this introduction video or the coursera R course.
Support team: Nico & Emanuele will be your support team if you get stuck. Just use the contact mail address and write to this email with the subject "support required: XXX".
Tutor: Dr. Paul-Christian Bürkner
He is a Ph.D. statistician currently working at the University of Münster (Germany), Department of Psychology. Previously, he has studied Psychology and Mathematics at the universities of Münster and Hagen. See here for an overview of his scientific publications. His research interests are Bayesian Inference, Multilevel Models, Optimal Design, & Meta-Analysis. Further, he created the software package "brms" (Bayesian Regression Models using Stan). We are happy to welcome such an experienced and excellent scientist as this years tutor for our workshop.
Download
What
Course material
Download
Last update
V1 20.04.2018
V2 23.07.2018
Contact
events.biopsych(at)ovgu.de