2nd Bayes Symposium:

Introducing Basic and Advanced Bayesian Modelling

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

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


Directions

Please visit the OvG University website

 


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

Download
2nd Bayes Workshop_v1.zip
Komprimiertes Archiv im ZIP Format 4.8 MB

Last update

V1 20.04.2018


Contact


events.biopsych(at)ovgu.de

Links to Associated Institutions