MAIN TALK (Workshop): “Bayesian Analysis in R via Stan”
Description
Bayesian analysis in R has never been so easy. After an overview on Bayesian statistics, Alice will introduce the Stan's probabilistic programming language and how to run .stan files from R via rstan. She will also explore the brms and rstanarm packages, giving pros and cons and when to use one vs. the other, examples included. By the end of the workshop you will master concepts like prior distributions and you will be able to easily implement your Bayesian regressions.
In this workshop you are encouraged to code along with Alice. Please either come with RStudio installed on your laptop or have access to it via your browser (through Jupyter Notebook for example). Required libraries: tidyverse, rstan, rstantools, brms, rtanarm, shiny.
All levels are welcome!
Speaker bio
Alice has recently earned her PhD in Demography from the University of Geneva in Switzerland. Her areas of research are population modeling and forecasts, with a special focus on migration. Her first area of expertise is gelato, but she also loves to play around with Bayesian Statistics :)
