Statistical Methods for Linguistics and Psychology

The course will be taught virtually during this week, using pre-recorded videos, moodle, and Zoom for daily real-time meetings.

For the Introductory courses, the recorded lectures will be available for free online to everyone (we will decide about the other courses later; watch this space).

Dates

7-11 September 2020

Times

The times will be decided closer to September.

Location

The summer school is being taught completely online

Language

English

Target group

students and professionals

Fee

As the course is being carried out virtually, there will be no fee.

About SMLP

The summer school aims to fill a gap in statistics education, specifically within the fields of linguistics and psychology.

One goal of the summer school is to provide comprehensive training in the theory and application of statistics, with a special focus on the linear mixed model.

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.

Funding

This summer school is funded by the DFG and is part of the SFB 1287, “Limits of Variability in Language”.

Dates

7-11 September 2020

Times

The times will be decided closer to September.

Location

The summer school is being taught completely online

Language

English

Target group

students and professionals

Fee

As the course is being carried out virtually, there will be no fee.

Curriculum

 Four courses with different foci will be taught:

  • Introduction to Bayesian regression modeling with rstanarm (maximum 30 participants). Taught by Jonah Gabry, assistant: Shravan Vasishth

There will be three keynote talks by:

  • Christina Bergmann (The "new" science: transparent, cumulative, and collaborative)
  • Jeff Rouder (Modeling individual differences)
  • Jennifer Tackett (Thinking Critically and Embracing Uncertainty: Approaches to Theory Specification and Testing in Psychological Science)

Invited lecturers

Because the summer school had to be switched to online modality, two of the lecturers, Jonah Gabry, and Robert Grant, cannot teach this year.

  • Douglas Bates (co-instructor for Advanced methods in frequentist statistics with Julia)
  • Phillip Alday (Advanced methods in frequentist statistics with Julia)

There will be three keynote talks by:

  • Christina Bergmann (The "new" science: transparent, cumulative, and collaborative)
  • Jeff Rouder (Modeling individual differences)
  • Jennifer Tackett (Thinking Critically and Embracing Uncertainty: Approaches to Theory Specification and Testing in Psychological Science)

For further information please visit the home page of SMLP 2020

For any questions regarding this summer school that have not been addressed on the SMLP 2020 home page already, please contact Shravan Vasishth.