Content Tags

There are no tags.

Visualization in Bayesian workflow.

RSS Source
Authors
Jonah Gabry, Daniel Simpson, Aki Vehtari, Michael Betancourt, Andrew Gelman

Bayesian data analysis is about more than just computing a posteriordistribu- tion, and Bayesian visualization is about more than trace plots ofMarkov chains. Practical Bayesian data analysis, like all data analysis, is aniterative process of model building, inference, model checking and evaluation,and model expansion. Visualization is helpful in each of these stages of theBayesian workflow and it is indispensable when drawing inferences from thetypes of modern, high-dimensional models that are used by applied researchers.

Stay in the loop.

Subscribe to our newsletter for a weekly update on the latest podcast, news, events, and jobs postings.