Bayes Rules! An Introduction to Bayesian Modeling with R

Bayesian statistics?! Once an obscure term, this alternative to the more ingrained frequentist philosophy is having a moment (a long one). In this workshop, we’ll explore some core principles of the Bayesian philosophy, learn to think like Bayesians, and get our hands on some Bayesian models. The workshop materials will rely on the following R packages: tidyverse, bayesrules, bayesplot, rstan, rstanarm. The rstan package in particular would be great to install in advance and works best with R version 4.0.0 or later.

About Speaker

Alicia Johnson is an associate professor of statistics at Macalester College in St Paul, Minnesota. Her research interests span Bayesian statistics, computational statistics, and statistics / data science education. Outside of statistics, she enjoys building things, snow (during the appropriate months), and vitamin D among other things.

Please note:

We are limited to 100 attendees, so make sure to join on time if you'd like to participate in the live event. The workshop will be recorded and shared on our YouTube channel shortly after the meetup event.