Statistics Masterclass II: Bayesian regression
A lot of you have been wondering about Bayesian statistics, so this time around stats expert and author of How to Do Linguistics with R Natalia Levshina (Radboud University) will help you learn the ins and outs of doing Bayesian regression in R. This masterclass takes place over 4 days and is suitable for everyone who has basic knowledge of linear (mixed) models and working with R.
Each day consists of two sessions (morning and afternoon) of two hours each, except for the second day, which will only have a morning session. The morning sessions are more theoretical and accessible online, whereas the afternoon sessions are interactive, practical exercises with R and will require in-person participation.
Where? This is a partially hybrid event that will take place both online on Zoom and at the University of Tartu. You will get the Zoom link after registration.
Schedule (all times in Eastern European time)
Day 1: Monday October 21st
First session 10-12 hrs
Bayesian inference: concepts, MCMC, comparison with frequentist methods, R packages rstan and brms.
Second session (Tartu only) 14-16 hrs
continuation
Day 2: Tuesday October 22nd
First session 10-12 hrs
Bayesian model selection and diagnostics, the role of priors.
Second session (Tartu only) 14-16 hrs
Natalia will give a colloquium talk at the University of Tartu
Day 3: Wednesday October 23rd
First session 10-12 hrs
Bayesian Generalized Linear Models: logistic and beta.
Second session (Tartu only) 14-16 hrs
continuation
Day 4: Friday October 24th
First session 10-12 hrs
Visualization, interpretation and reporting Bayesian models.
Second session (Tartu only)14-16 hrs
Discussions of your potential applications for what you've learned.
Preparation?
This masterclass is suitable for everybody who has either participated in the previous Statistics Masterclass, or already has some knowledge of statistics.
About the instructor
Natalia Levshina is Assistant Professor at the Centre for Language Studies at Radboud University. She is the author of How to Do Linguistics with R.
Her research concerns communicative efficiency and it's impact on grammar and the lexicon in the long run. She has expertise in working with large corpora, typology, data visualization, machine learning, and frequentist and Bayesian Generalised Linear Mixed Models.
Natalia also documents her linguistic findings about politics, gender and AI in her popular science blog Text Grinder.
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