Workshop: Introduction to Bayesian linear models with brms for language researchers

This workshop will teach you the basics of Bayesian inference using Bayesian linear models fitted with brms in R. The workshop assumes familiarity with R and linear modelling with lme4, but it does not assume previous experience with Bayesian statistics. At the end of the workshop you will be able to fit and interpret basic models for Gaussian/log-normal data and binary data (aka logistic/binomial regression), including how to work with priors. 

The workshop will be delivered by Dr Stefano Coretta, Senior Teaching Coordinator for Statistics in the Linguistics and English Language department  at the University of Edinburgh.

The workshop will take place in a computer cluster with access to RStudio and the required packages. If you bring your own laptop, please make sure you install the relevant software at least one day before the workshop, following these instructions.

The workshop will be in person only, but recordings of the presentations will be available.

This event is open to researchers who use linear models in R for language-related datasets based at Leeds or elsewhere.

Lunch will be provided.

This workshop is now fully booked.

If you would like to brush up your linear modelling skills in preparation for the workshop, please see Bodo Winter's two-part tutorial on Linear Models and Mixed Models with R.

Audio Recordings
Session 1: Basics and Diagnostics
Session 2: Priors
Session 3: Interactions and more on priors

Slides: https://stefanocoretta.github.io/learnBayes/.

You can also find a local copy of the slides in html format in the materials we  used for the workshop. Navigate to /learnBayes-main/docs/slides/: 01_basics.html, 02_diagnostics.html, 03_priors.html, 04_interactions.html, 05_more_priors.html and 06_group_level.html