Statistical Methods for Linguistics and Psychology, University of Potsdam, Germany, 10-14 September 2018
The Second Summer School on Statistical Methods for Linguistics and Psychology will be held in Potsdam, Germany from September 10-14 2018. Note that this summer school follows the annual international AMLaP conference, which will be held in Berlin September 6-8 2018.
Like the first edition, this summer school will have a Bayesian and frequentist stream. Bayesian data analysis will be taught (first four days) by Michael Betancourt, who is one of the lead developers of Stan; he will be assisted by Bruno Nicenboim and Shravan Vasishth. The frequentist stream will be led by Reinhold Kliegl, Audrey Bürki, and Daniel Schad. Both tracks will be aimed at linguists and psychologists, but are relevant for cognitive scientists working in many different areas. We will cover the necessary theoretical background for both statistical frameworks, and participants will get hands-on practice in learning to analyze real data sets.
The pace of this summer school will be intense! Participants should expect to be working hard during this one week, and to go home and review the materials after the course is over.
Applications will open on 15 February 2018, and will close 1 April 2018. Decisions will be sent out 10 April 2018.
There will be a 30 Euro fee to cover expenses for coffee and snacks, to be paid on arrival in cash. Participants will pay for their own accommodation and travel, details on accommodation coming soon.
All participants will be expected to follow the code of conduct, taken from StanCon 2018. In case a participant has any concerns, please contact any of the following people: Audrey Bürki, Shravan Vasishth, Bruno Nicenboim, Daniel Schad, or Reinhold Kliegl (see instructors list below).
This will appear in August 2018.
The summer school is intended for participants who have data analysis experience (especially, experience with linear mixed models is assumed), but want to work with state-of-the-art Bayesian and frequentist methods. We will assume that participants should be comfortable with the material presented in this article and these introductory lecture notes.
We will mainly focus on modeling repeated measures data. We will discuss hierarchical modeling in detail, using the generalized linear mixed modeling framework as a starting point. We will use R, the lme4 package, and Stan. Participants will be assumed to have a working knowledge of R; Stan will be taught from scratch. Everyone is expected to bring their own laptop computer.
The summer school will consist of lectures followed by hands-on exercises.
This course is designed for people who want a fast entry into Bayesian data analysis and modeling using Stan. The participants should be fairly familiar with linear modeling theory and should be experienced in fitting frequentist linear mixed models.
This course is designed for researchers who are interested in fitting linear mixed models using the lme4 package in R, but are unsure about how to proceed with advanced topics such as model selection, contrast coding, and visualizing model fit.
We will have two invited talks during the summer school.
We are assuming that participants will have a very good working knowledge of R and have considerable experience in fitting linear mixed models. Participants are expected to bring their own laptops. Wifi access will be available.
Please make sure you have the current versions of R and RStudio installed on your computer by the time you start the summer school, and that you have the R packages rstan, brms, and rstanarm installed. To install rstan, follow the instructions here.
Slides etc. will appear early Sept 2018.
The summer school will be held at the Griebnitzsee campus of the University of Potsdam; this is about 15-20 minutes away from Berlin zoo station by train. Lectures will be held in Haus 6, Rooms S17 (Frequentist stream), S18 (Bayesian stream). Invited lectures will be held in Hoersaal H01. Campus map: download from here
Please use bvg.de for planning your travel (by train or bus).
These lecture notes serve as reference materials for the summer school. You are not expected to read them during the summer school, but they may help for review later on.
For any questions regarding this summer school, please contact Shravan Vasishth.