[Bayes@Lund] Uncertainty visualization with tidybayes and ggdist

When communicating statistical results, we must consider carefully how to communicate uncertainty in ways that people can actually use to make informed decisions. I will describe some useful strategies, tools, and techniques for doing so, based on my (and others') research and my own practice. I will also showcase recent updates to the tidybayes and ggdist R packages designed to make it easy to quickly create a variety of custom uncertainty visualizations from Bayesian models.

About the speaker:
Dr Matthew Kay is an Assistant Professor in CS and Communication at Northwestern, previously an Assistant Professor at UMSI. His research interest includes communicating uncertainty, usable statistics, and personal informatics, in the areas of human–computer interaction and information visualization. Matthew is the author of the tidybayes and ggdist R packages for uncertainty visualization.

About the event:
This event is part of Bayes@Lund workshop series, co-organized with Skåne R User Group.