Welcome to the main home page of the Summer School on Statistical Methods for Linguistics and Psychology

Brief history of the summer school, and motivation

The SMLP summer school was started by Shravan Vasishth in 2017, as part of a methods project funded within the SFB 1287.
The summer school aims to fill a gap in statistics education, specifically within the fields of linguistics and psychology. One goal is to provide comprehensive training in the theory and application of statistics, with a special focus on the linear mixed modeling framework. Another major goal is to make Bayesian data analysis a standard part of the toolkit for the linguistics and psychology researcher. Over time, the summer school has evolved to have at least four parallel streams: beginning and advanced courses in frequentist and Bayesian statistics. These may be expanded to more parallel sessions in future editions. We typically admit a total of 120-150 participants.
In addition to the all-day courses, we regularly invite speakers to give lectures on important current issues relating to statistics.

Previous and upcoming editions of the summer school

  1. 2022
  2. 2021
  3. 2020
  4. 2019
  5. 2018
  6. 2017

Contact details

For any questions regarding this summer school, please contact Shravan Vasishth.


This summer school is funded (at least for the period 2018-2020) by the DFG and is part of the SFB 1287, “Variability in Language and Its Limits”.