Course Introduction to Bayesian modelling with brms for linguists

ECTS: 1

Course leader: Bodo Winter

Language: English

Graduate school: Faculty of Arts

Course fee: 0.00 DKK

Status: Course is open for application

Semester: Fall 2022

Application deadline: 01/08/2022

Start date: 22/08/2022

Administrator: Henriette Jaquet

NB!

All students are placed on a waiting list until we reach application deadline.

Description:

Linguistics is undergoing a quantitative revolution. Among the many changes that are happening, there is a dedicated push towards more Bayesian methods, which offer many advantages over standard frequentist methods, such as the ability to incorporate prior information in a more explicit fashion. The way Bayesian models are implemented in R it is also much easier to prevent the notorious 'convergence failures' that affect many mixed model analyses conducted with the widely used lme4 package. In this course, you will be introduced to the brms package, a highly flexible tool that allows fitting a large range of models. There will be a mixture of theory and hands-on sessions, ultimately geared towards enabling you to fit your own Bayesian models. Materials and installation instructions will be distributed a few weeks prior to the beginning of the course. Rudimentary knowledge in R, the tidyverse, and linear models would be preferred, but it should be possible to attend much of the course without it. Attendees who feel that they want to refresh their knowledge in these prerequisite topics can contact me in advance for guidance about how to prepare. The workshop will be held for two full days.

Aim:

Bayesian statistics for linguists.

Target group:

Most relevant to early or mid-stage PhD students, but the workshop will be appropriate for all PhD students in the field of linguistics who do deal with quantitative data. 

Form:

Workshop.

Venue:

Nobelparken, Jens Chr. Skous Vej 4, 8000 Aarhus C., Building 1481-324

 

Course dates:

  • 22 August 2022 09:00 - 15:30
  • 23 August 2022 09:00 - 15:30