This workshop, which will be held in 4 sessions starting March 22, 2022, will present one idea of a complete workflow for applied Bayesian statistics. The goal will be to look at real-world models that are actually used by biodiversity scientists.
During the workshop, we’ll look at how to write down a model, how to translate that into computer code, how to fit it to data and finally, how to work with the resulting posterior distribution. We’ll be using Stan, which is a language for writing Bayesian models. We’ll practice with some of the tools that help us work with Stan: rstanarm, brms, tidybayes, shinystan.
The training will include practical exercises using the R language and the Rstudio. Some experience in R is recommended. It will be helpful to have a good understanding of how linear and generalized linear models work before this workshop.
The objective is a training that is useful for experienced users of Bayesian tools and available to complete beginners who wants to use such tools.
This 6 to 8h online workshop will be conducted in 4 sessions: March 22, 24, 29, 31, 2022, from 11AM – 1 PM Pacific Time / 12 – 2 PM Mountain Time / 2-4 PM Eastern Time. The training proposed by Dr. Andrew MacDonald will be held in English with bilingual support throughout .
Andrew MacDonald is the Training Coordinator of the BIOS2 program. He is a quantitative ecologist who works mostly in R and a well-experienced trainer in teaching quantitative and computational methods. He is curently a research professional at Université de Sherbrooke.
To register to this training, please fill this form by March 18, 2022.
We especially encourage individuals who participated in the Biodiversity Modeling Summer School last summer to take this training.
Link to registration form: https://forms.office.com/r/1EzFdW7vbf
Photo by Alex Beaz on Unsplash