Introduction to Bayesian linear models

Abstract

This 2-hour 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). Information on the workshop will be uploaded to the workshop website: https://stefanocoretta.github.io/learnBayes/

A pre-workshop set-up can be found here: https://stefanocoretta.github.io/learnBayes/setup.html

Stefano will be able to answer queries about installing the software up to Thu 11, 5 p.m.

Registration

Please register in advance for this meeting: https://hu-berlin.zoom.us/meeting/register/u5Yocu2uqToqHNMoMLG9f6kD9uB_Hj9m3CaW

After registering, you will receive a confirmation email containing information about joining the meeting.

Organizers

Marzena Żygis and Onur Özsoy