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.